NEW METHOD FOR FINDING A REFERENCE POINT IN FINGERPRINT IMAGES WITH THE USE OF THE IPAN99 ALGORITHM 1. INTRODUCTION 2.
|
|
- Morris Russell
- 6 years ago
- Views:
Transcription
1 JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 13/009, ISSN Krzysztof WRÓBEL, Rafał DOROZ * fingerprint, reference point, IPAN99 NEW METHOD FOR FINDING A REFERENCE POINT IN FINGERPRINT IMAGES WITH THE USE OF THE IPAN99 ALGORITHM This stuy presents a new metho for fining a reference point in fingerprint images. The propose metho is base on the IPAN99 algorithm, which etects high curvature points on a contour of a graphical object. This algorithm was ajuste in the stuy to etect high curvature points on friction riges. It allows locating a reference point on a fingerprint image. Since the IPAN99 algorithm requires that the thickness of an analyse contour shoul be of one pixel, each fingerprint image was aequately prepare before submitting to the analysis with the IPAN99 algorithm. Evaluation of the efficiency of the metho consiste in comparing the istances between coorinates of reference points etermine with the use of the propose metho an inicate by an expert. The evelope metho was compare with other algorithms use for etermining a reference point. 1. INTRODUCTION The methos of verifying people s ientity base on fingerprint recognition are becoming some of the safest methos of authentication [5,6,7,1]. They prove their usefulness in the era of very high requirements set for security systems. This results to a large extent from the fact that biometric ata cannot be stolen or lost. A reliable system of person ientification an verification allows avoiing errors that case material losses as well as a loss of confience in a company or an institution. Fingerprint images contain friction riges. After aequate transformations, friction riges can be treate as sequences of points with specific coorinates, an can be processe with the use of image analysis methos. An analysis of unique patterns (minutiae), which form friction riges, allows establishing people s ientity [6]. Two images of fingerprints of the same finger taken in a certain time interval are nearly always slightly ifferent - they will be shifte, rotate through a certain angle, etc. Therefore, many methos for recognizing people on the basis of fingerprints require fining a reference point on the fingerprint, aroun which minutiae are being analyse [5,10,11]. This reference point is efine as a place on a fingerprint, in which the curvature of friction riges is the highest. In this stuy, the IPAN99 algorithm, which etects high curvature points on a contour of a graphical object, was use for fining a reference point [1]. The usability of this algorithm in the process of etermining a reference point on fingerprint images has not been stuie so far.. IMAGE PREPARATION The fingerprint images teste within the stuy containe friction riges with a thickness higher than one pixel. Since the IPAN99 algorithm requires that the thickness of a contour being analyse shoul be of one pixel [1], the teste images were aequately prepare. In the first phase, the fingerprint images were submitte to an operation that aime at improving their quality [4,6,9]. This operation consiste of a few stages, which were iscusse in etail in other stuies. In the presente stuy, there was use a quality improvement metho, which gave a binary image as a result [9]. Sample fingerprint images before an after the operation improving their quality are presente in Fig. 1. University of Silesia, Institute of Computer Science, Sosnowiec, Bęzińska 39, Polan, krzysztof.wrobel@us.eu.pl, rafal.oroz@us.eu.pl
2 ) e) f) Fig. 1. Sample fingerprint images before a-c) an after -f) the operation improving their quality. Thanks to the operation improving the quality of the analyse images, the visibility of friction riges was better, which facilitate the further analysis. In the last stage, the fingerprint images were submitte to a skeletonization process. There was use the Pavliis algorithm escribe in the stuy [8]. Sample images after the skeletonization are presente in Fig.. Fig.. Sample images after the skeletonization. Having the images prepare in such a way, each friction rige coul be recore as a sequence of points with specific coorinates. In this stuy, the metho escribe in the paper [3] was use for fining the sequence of points. During the research work it appeare that the IPAN99 algorithm ha etecte high curvature points in bifurcations of friction riges. This coul result in an incorrect etection of a reference point. Examples of incorrect etection of reference points in bifurcations of friction riges are presente in Fig. 3. These points were marke with a circle on the rawings. The reference point inicate by an expert were aitionally labelle with a cross mark. Fig. 3. Fragments of fingerprint images with some incorrectly etecte reference points (circle) an the reference points inicate by an expert (cross). In orer to prevent the above-mentione situation, moifications were mae, which consiste in removing a fragment of an image with a size of k k pixels, containing a given bifurcation. A sample image fragment before an after removal of all bifurcations is shown in Fig 4. The value of the k parameter was 5. 60
3 a) b) Fig. 4. Sample fragment of a fingerprint image: a) before removal of bifurcations, b) after removal of bifurcations. As a result of using the above methos, a set of curves representing friction riges was obtaine for each fingerprint. These curves ha a thickness of one pixel, an in the further part of the stuy were analyse with the use of the IPAN99 algorithm in orer to fin high curvature points. 3. IPAN99 ALGORITHM Detection of the highest curvature points with the use of the IPAN99 algorithm takes place in two stages [1]. In the first stage, the point p of the curve is taken as a corner, if it is possible to inscribe a triangle with a specific opening angle an ifferent lengths of sies (p, p, p + ) in this curve (Fig. 5). p + c p - a α p b p v ( ) α p v α( p) p Fig. 5. Detection of the highest curvature points base on the IPAN99 algorithm. Triangles are constructe accoring to the following conitions: where: min α max max + min max p p (1) min max parameter specifying the minimum length of triangle sies, parameter specifying the maximum length of triangle sies, p p () α α max (3) critical angle, which etermines the value of the angle of a triangle inscribe in the curve in a given point in orer to classify this point as a caniate for a corner. + p p = a = a istance between p an p + points, p p = b = b istance between p an p - points, + p p = c = c between p + an p - points, [ π, π ] α opening angle of a triangle, efine as follows: a + b c α = arccos (4) ab Inscribing a triangle at any point p is starte with etermining the smallest possible lengths of triangle sies. Then, next triangles are create by increasing the lengths of their sies. The algorithm is stoppe, if a triangle oes not meet one of the conitions 1-3. From among all acceptable triangles in a given point p, the triangle with the smallest opening angle α(p) is selecte. In the secon stage, the point p is rejecte, if in its neighbourhoo there is a point p ν, which has a smaller opening angle: 61
4 The point p ν belongs to the neighbourhoo of the point p, if it fulfils the conition α(p) > α(p ν ) (5) p p. v min Depening on the values of the min, max, α max parameters, the IPAN99 algorithm etecte a ifferent number of high curvature points on each friction rige. The result of operation of the algorithm was the n set of {p 1, p,, p n } points for each friction riges on a single fingerprint. For the nees of this stuy it has been accepte that the p r reference point is efine as follows: pr = min( α( p i )) for i = 1,..., n (6) The reference points on fingerprint images etermine with the use of the IPAN99 algorithm, as well as the reference points inicate by an expert are shown in Fig. 6. Fig. 6. Example of operation of the IPAN99 algorithm on fingerprint images. 4. THE COURSE AND RESULTS OF THE STUDIES The tests were performe on a set of images coming from FVC atabase []. Sample test images are presente in Fig. 7. ) e) f) g) h) Fig. 7. Sample images use in the tests. Evaluation of the efficiency of the metho consiste in comparing the coorinates of reference points etermine with the use of the propose metho an inicate by an expert. Eucliean istance were etermine between the points being compare. On the basis of the values of the istance, the efficiency of the metho was evaluate. For the IPAN99 algorithm, the following parameters were experimentally selecte: min =17, max =19, α max =150. The value of the k parameter was set at 5 pixels. Aitionally, the results of the tests were compare with other methos. The results of tests for the sample fingerprints presente in Fig. 7 were given in Table 1. 6
5 Table 1. Results of the stuies B C A D Algorithm 1 Algorithm Expert s Distance Distance Our metho Distance Image assessment p r = xr, y r D1=A-B pr = xr, y r D=A-C new new, new p e e, e r xr y D3=A-D p = r r = xr y r [11] [10] a) [18, 310] [0, 301] 9, [14, 313] 5,00 [5, 307] 7,6 b) [13, 87] [130, 74] 13,15 [137, 91] 6,40 [111, 81] 1,84 c) [137, 301] [139, 83] 18,11 [148, 30] 11,05 [154, 300] 17,03 ) [14, 85] [130, 74] 1,53 [137, 91] 14,3 [13, 80] 9,43 e) [149, 73] [148, 65] 8,06 [159, 69] 10,77 [155, 69] 7,1 f) [159, 357] [157, 346] 11,18 [170, 357] 11,00 [163, 340] 17,46 g) [163, 45] [166, 38] 7,6 [181, 47] 18,11 [176, 4] 13,34 h) [05, 46] [193, 38] 14,4 [03, 47],4 [04, 45] 1,41 An analysis of the results presente in Table 1 shows that in three cases (, e an h images), the propose metho gives results more close to the expert s inications than other methos compare with it. Also in three cases, the propose metho gives results more close to the expert s inications than one of other methos ( a, c an g images). Whereas in other cases, the results are worse than in the compare methos. 5. CONCLUSIONS The conucte stuies emonstrate that the presente metho is usable for fining a reference point. The obtaine results are comparable with other methos an only slightly iffer from expert s inications. Next stages of the research will involve tests performe on atabases containing a larger number of fingerprint images an in ifferent quality. Other parameters of the IPAN99 algorithm will be teste too. It is planne to evelop new methos that allow eliminating incorrectly etecte high curvature points within bifurcations an other types of minutiae. BIBLIOGRAPHY [1] CHETVERIKOV D., SZABO Z., Detection of high curvature points in planner curves. In 3r Workshop of the Austrian Pattern Recognition Group, pp , [] Fingerprint Verification Competition: [3] GOŁUCH P., Charakteryzacja konturu D przy pomocy punktów brzegowych o największej krzywiźnie (in polish), praca licencjacka, promotor: W. Kotarski, Uniwersytet Śląski, Sosnowiec, 003. [4] GREENBERG S., ALADJEM M., KOGAN D., DIMITROV I., Fingerprint image enhancement using filtering techniques. Proceeings of the 15th International Conference on Pattern Recognition (ICPR 00), Vol. 3, pp. 3 35, Barcelona, Spain, 000. [5] JAIN A.K., PRABHAKAR S., JONH L., PANKANTI S., Filterbank-base fingerprint matching. IEEE Transactions on Image Processing, Vol. 9, No. 5, pp , 000. [6] MALTONI D., MAIO D., JAIN A.K., PRABHAKAR S., Hanbook of Fingerprint Recognition. Springer professional computing series, NY, 003. [7] PARK U., PANKANTI S., JAIN A.K., Fingerprint verification using SIFT features. SPIE Defense an Security Symposium, paper , Orlano, USA, 008. [8] PAVLIDIS T., A thinning algorithm for iscrete binary images. Computer Graphics an Image Processing, Vol. 13, pp , [9] PORWIK P., WIĘCŁAW Ł., The New Efficient Metho of Fingerprint Image Enhancement. International Journal of Biometrics, Vol. 1, No. 1, pp , Inerscience Publisher, 008. [10] PORWIK P., WIĘCŁAW Ł., Fingerprint Reference Point Detection Using Neighbourhoo Influence Metho. Avances in Intelligent an Soft Computing, Vol. 45, Computer Recognition Systems, pp , Springer-Verlag, 007. [11] PORWIK P., WRÓBEL K., The new algorithm of fingerprint reference point location base on ientification masks. Avances in Intelligent an Soft Computing, Vol. 30, Computer Recognition Systems, pp , Springer-Verlag, 005. [1] WANG R., BHANU B., Preicting fingerprint biometrics performance from a small gallery. Pattern Recognition Letters, Vol. 8, No. 1, pp.40 48,
6 64 BIOMETRICS
A new approach to reference point location in fingerprint recognition
A new approach to reference point location in fingerprint recognition Piotr Porwik a) and Lukasz Wieclaw b) Institute of Informatics, Silesian University 41 200 Sosnowiec ul. Bedzinska 39, Poland a) porwik@us.edu.pl
More informationKinematic Analysis of a Family of 3R Manipulators
Kinematic Analysis of a Family of R Manipulators Maher Baili, Philippe Wenger an Damien Chablat Institut e Recherche en Communications et Cybernétique e Nantes, UMR C.N.R.S. 6597 1, rue e la Noë, BP 92101,
More informationFinger Print Enhancement Using Minutiae Based Algorithm
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 8, August 2014,
More informationDevelopment of an Automated Fingerprint Verification System
Development of an Automated Development of an Automated Fingerprint Verification System Fingerprint Verification System Martin Saveski 18 May 2010 Introduction Biometrics the use of distinctive anatomical
More informationTHE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE
БСУ Международна конференция - 2 THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE Evgeniya Nikolova, Veselina Jecheva Burgas Free University Abstract:
More informationWLAN Indoor Positioning Based on Euclidean Distances and Fuzzy Logic
WLAN Inoor Positioning Base on Eucliean Distances an Fuzzy Logic Anreas TEUBER, Bern EISSFELLER Institute of Geoesy an Navigation, University FAF, Munich, Germany, e-mail: (anreas.teuber, bern.eissfeller)@unibw.e
More informationFingerprint Image Enhancement Algorithm and Performance Evaluation
Fingerprint Image Enhancement Algorithm and Performance Evaluation Naja M I, Rajesh R M Tech Student, College of Engineering, Perumon, Perinad, Kerala, India Project Manager, NEST GROUP, Techno Park, TVM,
More informationMulti-camera tracking algorithm study based on information fusion
International Conference on Avance Electronic Science an Technolog (AEST 016) Multi-camera tracking algorithm stu base on information fusion a Guoqiang Wang, Shangfu Li an Xue Wen School of Electronic
More informationUse of Mean Square Error Measure in Biometric Analysis of Fingerprint Tests
Journal of Information Hiding and Multimedia Signal Processing c 2015 ISSN 2073-4212 Ubiquitous International Volume 6, Number 5, September 2015 Use of Mean Square Error Measure in Biometric Analysis of
More informationImage Segmentation using K-means clustering and Thresholding
Image Segmentation using Kmeans clustering an Thresholing Preeti Panwar 1, Girhar Gopal 2, Rakesh Kumar 3 1M.Tech Stuent, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra,
More informationSkyline Community Search in Multi-valued Networks
Syline Community Search in Multi-value Networs Rong-Hua Li Beijing Institute of Technology Beijing, China lironghuascut@gmail.com Jeffrey Xu Yu Chinese University of Hong Kong Hong Kong, China yu@se.cuh.eu.h
More informationNew Version of Davies-Bouldin Index for Clustering Validation Based on Cylindrical Distance
New Version of Davies-Boulin Inex for lustering Valiation Base on ylinrical Distance Juan arlos Roas Thomas Faculta e Informática Universia omplutense e Mari Mari, España correoroas@gmail.com Abstract
More informationShift-map Image Registration
Shift-map Image Registration Linus Svärm Petter Stranmark Centre for Mathematical Sciences, Lun University {linus,petter}@maths.lth.se Abstract Shift-map image processing is a new framework base on energy
More informationShift-map Image Registration
Shift-map Image Registration Svärm, Linus; Stranmark, Petter Unpublishe: 2010-01-01 Link to publication Citation for publishe version (APA): Svärm, L., & Stranmark, P. (2010). Shift-map Image Registration.
More informationYet Another Parallel Hypothesis Search for Inverse Entailment Hiroyuki Nishiyama and Hayato Ohwada Faculty of Sci. and Tech. Tokyo University of Scien
Yet Another Parallel Hypothesis Search for Inverse Entailment Hiroyuki Nishiyama an Hayato Ohwaa Faculty of Sci. an Tech. Tokyo University of Science, 2641 Yamazaki, Noa-shi, CHIBA, 278-8510, Japan hiroyuki@rs.noa.tus.ac.jp,
More informationOnline Appendix to: Generalizing Database Forensics
Online Appenix to: Generalizing Database Forensics KYRIACOS E. PAVLOU an RICHARD T. SNODGRASS, University of Arizona This appenix presents a step-by-step iscussion of the forensic analysis protocol that
More informationA Full Analytical Review on Fingerprint Recognition using Neural Networks
e t International Journal on Emerging Technologies (Special Issue on RTIESTM-2016) 7(1): 45-49(2016) ISSN No. (Print) : 0975-8364 ISSN No. (Online) : 2249-3255 A Full Analytical Review on Fingerprint Recognition
More informationPolitehnica University of Timisoara Mobile Computing, Sensors Network and Embedded Systems Laboratory. Testing Techniques
Politehnica University of Timisoara Mobile Computing, Sensors Network an Embee Systems Laboratory ing Techniques What is testing? ing is the process of emonstrating that errors are not present. The purpose
More informationFingerprint Indexing using Minutiae and Pore Features
Fingerprint Indexing using Minutiae and Pore Features R. Singh 1, M. Vatsa 1, and A. Noore 2 1 IIIT Delhi, India, {rsingh, mayank}iiitd.ac.in 2 West Virginia University, Morgantown, USA, afzel.noore@mail.wvu.edu
More informationIndexing Fingerprints using Minutiae Quadruplets
Indexing Fingerprints using Minutiae Quadruplets Ogechukwu Iloanusi University of Nigeria, Nsukka oniloanusi@gmail.com Aglika Gyaourova and Arun Ross West Virginia University http://www.csee.wvu.edu/~ross
More informationUsing Vector and Raster-Based Techniques in Categorical Map Generalization
Thir ICA Workshop on Progress in Automate Map Generalization, Ottawa, 12-14 August 1999 1 Using Vector an Raster-Base Techniques in Categorical Map Generalization Beat Peter an Robert Weibel Department
More informationDivide-and-Conquer Algorithms
Supplment to A Practical Guie to Data Structures an Algorithms Using Java Divie-an-Conquer Algorithms Sally A Golman an Kenneth J Golman Hanout Divie-an-conquer algorithms use the following three phases:
More informationEFFICIENT STEREO MATCHING BASED ON A NEW CONFIDENCE METRIC. Won-Hee Lee, Yumi Kim, and Jong Beom Ra
th European Signal Processing Conference (EUSIPCO ) Bucharest, omania, August 7-3, EFFICIENT STEEO MATCHING BASED ON A NEW CONFIDENCE METIC Won-Hee Lee, Yumi Kim, an Jong Beom a Department of Electrical
More informationPublished by: PIONEER RESEARCH & DEVELOPMENT GROUP (www.prdg.org) 1
Minutiae Points Extraction using Biometric Fingerprint- Enhancement Vishal Wagh 1, Shefali Sonavane 2 1 Computer Science and Engineering Department, Walchand College of Engineering, Sangli, Maharashtra-416415,
More informationRefinement of scene depth from stereo camera ego-motion parameters
Refinement of scene epth from stereo camera ego-motion parameters Piotr Skulimowski, Pawel Strumillo An algorithm for refinement of isparity (epth) map from stereoscopic sequences is propose. The metho
More informationModifying ROC Curves to Incorporate Predicted Probabilities
Moifying ROC Curves to Incorporate Preicte Probabilities Cèsar Ferri DSIC, Universitat Politècnica e València Peter Flach Department of Computer Science, University of Bristol José Hernánez-Orallo DSIC,
More informationDual Arm Robot Research Report
Dual Arm Robot Research Report Analytical Inverse Kinematics Solution for Moularize Dual-Arm Robot With offset at shouler an wrist Motivation an Abstract Generally, an inustrial manipulator such as PUMA
More informationReconstructing the Nonlinear Filter Function of LILI-128 Stream Cipher Based on Complexity
Reconstructing the Nonlinear Filter Function of LILI-128 Stream Cipher Base on Complexity Xiangao Huang 1 Wei Huang 2 Xiaozhou Liu 3 Chao Wang 4 Zhu jing Wang 5 Tao Wang 1 1 College of Engineering, Shantou
More informationObject Recognition Using Colour, Shape and Affine Invariant Ratios
Object Recognition Using Colour, Shape an Affine Invariant Ratios Paul A. Walcott Centre for Information Engineering City University, Lonon EC1V 0HB, Englan P.A.Walcott@city.ac.uk Abstract This paper escribes
More informationA Classification of 3R Orthogonal Manipulators by the Topology of their Workspace
A Classification of R Orthogonal Manipulators by the Topology of their Workspace Maher aili, Philippe Wenger an Damien Chablat Institut e Recherche en Communications et Cybernétique e Nantes, UMR C.N.R.S.
More informationFingerprint Ridge Orientation Estimation Using A Modified Canny Edge Detection Mask
Fingerprint Ridge Orientation Estimation Using A Modified Canny Edge Detection Mask Laurice Phillips PhD student laurice.phillips@utt.edu.tt Margaret Bernard Senior Lecturer and Head of Department Margaret.Bernard@sta.uwi.edu
More informationSMART IMAGE PROCESSING OF FLOW VISUALIZATION
SMAR IMAGE PROCESSING OF FLOW VISUALIZAION H Li (A Rinoshika) 1, M akei, M Nakano 1, Y Saito 3 an K Horii 4 1 Department of Mechanical Systems Engineering, Yamagata University, Yamagata 99-851, JAPAN Department
More information2.7 Implicit Differentiation
2.7 Implicit Differentiation [ y] = = = [ x] 1 Sometimes we may be intereste in fining the erivative of an equation that is not solve or able to be solve for a particular epenent variable explicitly. In
More informationResearch Article Research on Law s Mask Texture Analysis System Reliability
Research Journal of Applie Sciences, Engineering an Technology 7(19): 4002-4007, 2014 DOI:10.19026/rjaset.7.761 ISSN: 2040-7459; e-issn: 2040-7467 2014 Maxwell Scientific Publication Corp. Submitte: November
More informationFeature Extraction and Rule Classification Algorithm of Digital Mammography based on Rough Set Theory
Feature Extraction an Rule Classification Algorithm of Digital Mammography base on Rough Set Theory Aboul Ella Hassanien Jafar M. H. Ali. Kuwait University, Faculty of Aministrative Science, Quantitative
More informationRough Set Approach for Classification of Breast Cancer Mammogram Images
Rough Set Approach for Classification of Breast Cancer Mammogram Images Aboul Ella Hassanien Jafar M. H. Ali. Kuwait University, Faculty of Aministrative Science, Quantitative Methos an Information Systems
More informationOnline and Offline Fingerprint Template Update Using Minutiae: An Experimental Comparison
Online and Offline Fingerprint Template Update Using Minutiae: An Experimental Comparison Biagio Freni, Gian Luca Marcialis, and Fabio Roli University of Cagliari Department of Electrical and Electronic
More informationEvolutionary Optimisation Methods for Template Based Image Registration
Evolutionary Optimisation Methos for Template Base Image Registration Lukasz A Machowski, Tshilizi Marwala School of Electrical an Information Engineering University of Witwatersran, Johannesburg, South
More informationCall for participation. FVC2004: Fingerprint Verification Competition 2004
Call for participation FVC2004: Fingerprint Verification Competition 2004 WEB SITE: http://bias.csr.unibo.it/fvc2004/ The Biometric System Lab (University of Bologna), the Pattern Recognition and Image
More informationAN INVESTIGATION OF FOCUSING AND ANGULAR TECHNIQUES FOR VOLUMETRIC IMAGES BY USING THE 2D CIRCULAR ULTRASONIC PHASED ARRAY
AN INVESTIGATION OF FOCUSING AND ANGULAR TECHNIQUES FOR VOLUMETRIC IMAGES BY USING THE D CIRCULAR ULTRASONIC PHASED ARRAY S. Monal Lonon South Bank University; Engineering an Design 103 Borough Roa, Lonon
More information1 Surprises in high dimensions
1 Surprises in high imensions Our intuition about space is base on two an three imensions an can often be misleaing in high imensions. It is instructive to analyze the shape an properties of some basic
More informationNon-homogeneous Generalization in Privacy Preserving Data Publishing
Non-homogeneous Generalization in Privacy Preserving Data Publishing W. K. Wong, Nios Mamoulis an Davi W. Cheung Department of Computer Science, The University of Hong Kong Pofulam Roa, Hong Kong {wwong2,nios,cheung}@cs.hu.h
More informationUsing Support Vector Machines to Eliminate False Minutiae Matches during Fingerprint Verification
Using Support Vector Machines to Eliminate False Minutiae Matches during Fingerprint Verification Abstract Praveer Mansukhani, Sergey Tulyakov, Venu Govindaraju Center for Unified Biometrics and Sensors
More informationMinutiae Based Fingerprint Authentication System
Minutiae Based Fingerprint Authentication System Laya K Roy Student, Department of Computer Science and Engineering Jyothi Engineering College, Thrissur, India Abstract: Fingerprint is the most promising
More informationParticle Swarm Optimization Based on Smoothing Approach for Solving a Class of Bi-Level Multiobjective Programming Problem
BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 17, No 3 Sofia 017 Print ISSN: 1311-970; Online ISSN: 1314-4081 DOI: 10.1515/cait-017-0030 Particle Swarm Optimization Base
More informationDepth Sizing of Surface Breaking Flaw on Its Open Side by Short Path of Diffraction Technique
17th Worl Conference on Nonestructive Testing, 5-8 Oct 008, Shanghai, China Depth Sizing of Surface Breaking Flaw on Its Open Sie by Short Path of Diffraction Technique Hiroyuki FUKUTOMI, Shan LIN an Takashi
More informationMORA: a Movement-Based Routing Algorithm for Vehicle Ad Hoc Networks
: a Movement-Base Routing Algorithm for Vehicle A Hoc Networks Fabrizio Granelli, Senior Member, Giulia Boato, Member, an Dzmitry Kliazovich, Stuent Member Abstract Recent interest in car-to-car communications
More informationIndexing the Edges A simple and yet efficient approach to high-dimensional indexing
Inexing the Eges A simple an yet efficient approach to high-imensional inexing Beng Chin Ooi Kian-Lee Tan Cui Yu Stephane Bressan Department of Computer Science National University of Singapore 3 Science
More informationFuzzy Clustering in Parallel Universes
Fuzzy Clustering in Parallel Universes Bern Wisweel an Michael R. Berthol ALTANA-Chair for Bioinformatics an Information Mining Department of Computer an Information Science, University of Konstanz 78457
More informationLocal Correlation-based Fingerprint Matching
Local Correlation-based Fingerprint Matching Karthik Nandakumar Department of Computer Science and Engineering Michigan State University, MI 48824, U.S.A. nandakum@cse.msu.edu Anil K. Jain Department of
More informationfiltering LETTER An Improved Neighbor Selection Algorithm in Collaborative Taek-Hun KIM a), Student Member and Sung-Bong YANG b), Nonmember
107 IEICE TRANS INF & SYST, VOLE88 D, NO5 MAY 005 LETTER An Improve Neighbor Selection Algorithm in Collaborative Filtering Taek-Hun KIM a), Stuent Member an Sung-Bong YANG b), Nonmember SUMMARY Nowaays,
More information0607 CAMBRIDGE INTERNATIONAL MATHEMATICS
CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Seconary Eucation MARK SCHEME for the May/June 03 series 0607 CAMBRIDGE INTERNATIONAL MATHEMATICS 0607/4 Paper 4 (Extene), maximum
More information5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)
5th International Conference on Avance Design an Manufacturing Engineering (ICADME 25) Research on motion characteristics an application of multi egree of freeom mechanism base on R-W metho Xiao-guang
More informationCAMERAS AND GRAVITY: ESTIMATING PLANAR OBJECT ORIENTATION. Zhaoyin Jia, Andrew Gallagher, Tsuhan Chen
CAMERAS AND GRAVITY: ESTIMATING PLANAR OBJECT ORIENTATION Zhaoyin Jia, Anrew Gallagher, Tsuhan Chen School of Electrical an Computer Engineering, Cornell University ABSTRACT Photography on a mobile camera
More informationReducing FMR of Fingerprint Verification by Using the Partial Band of Similarity
Reducing FMR of Fingerprint Verification by Using the Partial Band of Similarity Seung-Hoon Chae 1,Chang-Ho Seo 2, Yongwha Chung 3, and Sung Bum Pan 4,* 1 Dept. of Information and Communication Engineering,
More informationTHE APPLICATION OF ARTICLE k-th SHORTEST TIME PATH ALGORITHM
International Journal of Physics an Mathematical Sciences ISSN: 2277-2111 (Online) 2016 Vol. 6 (1) January-March, pp. 24-6/Mao an Shi. THE APPLICATION OF ARTICLE k-th SHORTEST TIME PATH ALGORITHM Hua Mao
More informationFingerprint Verification applying Invariant Moments
Fingerprint Verification applying Invariant Moments J. Leon, G Sanchez, G. Aguilar. L. Toscano. H. Perez, J. M. Ramirez National Polytechnic Institute SEPI ESIME CULHUACAN Mexico City, Mexico National
More informationFingerprint Identification System Based On Neural Network
Fingerprint Identification System Based On Neural Network Mr. Lokhande S.K., Prof. Mrs. Dhongde V.S. ME (VLSI & Embedded Systems), Vishwabharati Academy s College of Engineering, Ahmednagar (MS), India
More information0607 CAMBRIDGE INTERNATIONAL MATHEMATICS
PAPA CAMBRIDGE CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Seconary Eucation MARK SCHEME for the May/June 0 series CAMBRIDGE INTERNATIONAL MATHEMATICS /4 4 (Extene), maximum
More informationA multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation
University of Wollongong Research Online Faculty of Engineering an Information Sciences - Papers: Part A Faculty of Engineering an Information Sciences 214 A multiple wavelength unwrapping algorithm for
More informationA Plane Tracker for AEC-automation Applications
A Plane Tracker for AEC-automation Applications Chen Feng *, an Vineet R. Kamat Department of Civil an Environmental Engineering, University of Michigan, Ann Arbor, USA * Corresponing author (cforrest@umich.eu)
More informationDEVELOPMENT OF DamageCALC APPLICATION FOR AUTOMATIC CALCULATION OF THE DAMAGE INDICATOR
Mechanical Testing an Diagnosis ISSN 2247 9635, 2012 (II), Volume 4, 28-36 DEVELOPMENT OF DamageCALC APPLICATION FOR AUTOMATIC CALCULATION OF THE DAMAGE INDICATOR Valentina GOLUBOVIĆ-BUGARSKI, Branislav
More informationFINGERPRINT RECOGNITION BASED ON SPECTRAL FEATURE EXTRACTION
FINGERPRINT RECOGNITION BASED ON SPECTRAL FEATURE EXTRACTION Nadder Hamdy, Magdy Saeb 2, Ramy Zewail, and Ahmed Seif Arab Academy for Science, Technology & Maritime Transport School of Engineering,. Electronics
More informationInternational Journal of Advanced Research in Computer Science and Software Engineering
ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: Fingerprint Recognition using Robust Local Features Madhuri and
More informationFingerprint Matching using Gabor Filters
Fingerprint Matching using Gabor Filters Muhammad Umer Munir and Dr. Muhammad Younas Javed College of Electrical and Mechanical Engineering, National University of Sciences and Technology Rawalpindi, Pakistan.
More informationNew Geometric Interpretation and Analytic Solution for Quadrilateral Reconstruction
New Geometric Interpretation an Analytic Solution for uarilateral Reconstruction Joo-Haeng Lee Convergence Technology Research Lab ETRI Daejeon, 305 777, KOREA Abstract A new geometric framework, calle
More informationAnimated Surface Pasting
Animate Surface Pasting Clara Tsang an Stephen Mann Computing Science Department University of Waterloo 200 University Ave W. Waterloo, Ontario Canaa N2L 3G1 e-mail: clftsang@cgl.uwaterloo.ca, smann@cgl.uwaterloo.ca
More informationAutomation of Bird Front Half Deboning Procedure: Design and Analysis
Automation of Bir Front Half Deboning Proceure: Design an Analysis Debao Zhou, Jonathan Holmes, Wiley Holcombe, Kok-Meng Lee * an Gary McMurray Foo Processing echnology Division, AAS Laboratory, Georgia
More informationAN ACCURATE FINGERPRINT REFERENCE POINT DETERMINATION METHOD BASED ON CURVATURE ESTIMATION OF SEPARATED RIDGES
Int. J. Appl. Math. Comput. Sci., 218, Vol. 28, No. 1, 29 225 DOI: 1.2478/amcs-218-16 AN ACCURATE FINGERPRINT REFERENCE POINT DETERMINATION METHOD BASED ON CURVATURE ESTIMATION OF SEPARATED RIDGES RAFAL
More informationA Novel Density Based Clustering Algorithm by Incorporating Mahalanobis Distance
Receive: November 20, 2017 121 A Novel Density Base Clustering Algorithm by Incorporating Mahalanobis Distance Margaret Sangeetha 1 * Velumani Paikkaramu 2 Rajakumar Thankappan Chellan 3 1 Department of
More informationAPPLYING GENETIC ALGORITHM IN QUERY IMPROVEMENT PROBLEM. Abdelmgeid A. Aly
International Journal "Information Technologies an Knowlege" Vol. / 2007 309 [Project MINERVAEUROPE] Project MINERVAEUROPE: Ministerial Network for Valorising Activities in igitalisation -
More informationSingular Point Detection for Efficient Fingerprint Classification
Singular Point Detection for Efficient Fingerprint Classification Ali Ismail Awad and Kensuke Baba Graduate School of Information Science and Electrical Engineering Kyushu University Library 10-1, Hakozaki
More informationFigure 1: 2D arm. Figure 2: 2D arm with labelled angles
2D Kinematics Consier a robotic arm. We can sen it commans like, move that joint so it bens at an angle θ. Once we ve set each joint, that s all well an goo. More interesting, though, is the question of
More informationUjma A. Mulla 1 1 PG Student of Electronics Department of, B.I.G.C.E., Solapur, Maharashtra, India. IJRASET: All Rights are Reserved
Generate new identity from fingerprints for privacy protection Ujma A. Mulla 1 1 PG Student of Electronics Department of, B.I.G.C.E., Solapur, Maharashtra, India Abstract : We propose here a novel system
More informationPreamble. Singly linked lists. Collaboration policy and academic integrity. Getting help
CS2110 Spring 2016 Assignment A. Linke Lists Due on the CMS by: See the CMS 1 Preamble Linke Lists This assignment begins our iscussions of structures. In this assignment, you will implement a structure
More informationAn Algorithm for Building an Enterprise Network Topology Using Widespread Data Sources
An Algorithm for Builing an Enterprise Network Topology Using Wiesprea Data Sources Anton Anreev, Iurii Bogoiavlenskii Petrozavosk State University Petrozavosk, Russia {anreev, ybgv}@cs.petrsu.ru Abstract
More informationQuality of biometric data: definition and validation of metrics. Christophe Charrier GREYC - Caen, France
Quality of biometric data: definition and validation of metrics Christophe Charrier GREYC - Caen, France 1 GREYC Research Lab Le pôle TES et le sans-contact Caen 2 3 Introduction Introduction Quality of
More informationAbstract -Fingerprints are the most widely. Keywords:fingerprint; ridge pattern; biometric;
Analysis Of Finger Print Detection Techniques Prof. Trupti K. Wable *1(Assistant professor of Department of Electronics & Telecommunication, SVIT Nasik, India) trupti.wable@pravara.in*1 Abstract -Fingerprints
More informationA Framework for Dialogue Detection in Movies
A Framework for Dialogue Detection in Movies Margarita Kotti, Constantine Kotropoulos, Bartosz Ziólko, Ioannis Pitas, an Vassiliki Moschou Department of Informatics, Aristotle University of Thessaloniki
More informationSoftware Reliability Modeling and Cost Estimation Incorporating Testing-Effort and Efficiency
Software Reliability Moeling an Cost Estimation Incorporating esting-effort an Efficiency Chin-Yu Huang, Jung-Hua Lo, Sy-Yen Kuo, an Michael R. Lyu -+ Department of Electrical Engineering Computer Science
More informationA Geometry-Based Approach to Identifying Cloud Shadows in the VIIRS Cloud Mask Algorithm for NPOESS
1388 J O U R N A L O F A T M O S P H E R I C A N D O C E A N I C T E C H N O L O G Y VOLUME 26 A Geometry-Base Approach to Ientifying Clou Shaows in the VIIRS Clou Mask Algorithm for NPOESS KEITH D. HUTCHISON
More informationFast Window Based Stereo Matching for 3D Scene Reconstruction
The International Arab Journal of Information Technology, Vol. 0, No. 3, May 203 209 Fast Winow Base Stereo Matching for 3D Scene Reconstruction Mohamma Mozammel Chowhury an Mohamma AL-Amin Bhuiyan Department
More informationOutline. Incorporating Biometric Quality In Multi-Biometrics FUSION. Results. Motivation. Image Quality: The FVC Experience
Incorporating Biometric Quality In Multi-Biometrics FUSION QUALITY Julian Fierrez-Aguilar, Javier Ortega-Garcia Biometrics Research Lab. - ATVS Universidad Autónoma de Madrid, SPAIN Loris Nanni, Raffaele
More informationA PSO Optimized Layered Approach for Parametric Clustering on Weather Dataset
Vol.3, Issue.1, Jan-Feb. 013 pp-504-508 ISSN: 49-6645 A PSO Optimize Layere Approach for Parametric Clustering on Weather Dataset Shikha Verma, 1 Kiran Jyoti 1 Stuent, Guru Nanak Dev Engineering College
More informationReference Point Detection for Arch Type Fingerprints
Reference Point Detection for Arch Type Fingerprints H.K. Lam 1, Z. Hou 1, W.Y. Yau 1, T.P. Chen 1, J. Li 2, and K.Y. Sim 2 1 Computer Vision and Image Understanding Department Institute for Infocomm Research,
More informationEnabling Rollback Support in IT Change Management Systems
Enabling Rollback Support in IT Change Management Systems Guilherme Sperb Machao, Fábio Fabian Daitx, Weverton Luis a Costa Coreiro, Cristiano Bonato Both, Luciano Paschoal Gaspary, Lisanro Zambeneetti
More informationRobust Camera Calibration for an Autonomous Underwater Vehicle
obust Camera Calibration for an Autonomous Unerwater Vehicle Matthew Bryant, Davi Wettergreen *, Samer Aballah, Alexaner Zelinsky obotic Systems Laboratory Department of Engineering, FEIT Department of
More informationA Cost Model For Nearest Neighbor Search. High-Dimensional Data Space
A Cost Moel For Nearest Neighbor Search in High-Dimensional Data Space Stefan Berchtol University of Munich Germany berchtol@informatikuni-muenchene Daniel A Keim University of Munich Germany keim@informatikuni-muenchene
More informationModeling Complex Contacts Involving Deformable Objects for Haptic and Graphic Rendering
Robotics: Science an Systems 2005 Cambrige, MA, USA, June 8-11, 2005 Moeling Complex Contacts Involving Deformable Objects for Haptic an Graphic Renering Qi Luo IMI Lab, Department of Computer Science
More informationTry It. Implicit and Explicit Functions. Video. Exploration A. Differentiating with Respect to x
SECTION 5 Implicit Differentiation Section 5 Implicit Differentiation Distinguish between functions written in implicit form an eplicit form Use implicit ifferentiation to fin the erivative of a function
More informationKeywords Data compression, image processing, NCD, Kolmogorov complexity, JPEG, ZIP
Volume 3, Issue 7, July 203 ISSN: 2277 28X International Journal of Avance Research in Computer Science an Software Engineering Research Paper Available online at: wwwijarcssecom Compression Techniques
More informationVerifying Fingerprint Match by Local Correlation Methods
Verifying Fingerprint Match by Local Correlation Methods Jiang Li, Sergey Tulyakov and Venu Govindaraju Abstract Most fingerprint matching algorithms are based on finding correspondences between minutiae
More informationEXPERIMENTAL VALIDATION OF HIGH SPEED HAZARD AVOIDANCE CONTROL FOR UNMANNED GROUND VEHICLES. Matthew Spenko, Steven Dubowsky, and Karl Iagnemma
EXPERIMENTAL VALIDATION OF HIGH SPEED HAZARD AVOIDANCE CONTROL FOR UNMANNED GROUND VEHICLES Matthew Spenko, Steven Dubowsky, an Karl Iagnemma Massachusetts Institute of Technology, Department of Mechanical
More information6 Gradient Descent. 6.1 Functions
6 Graient Descent In this topic we will iscuss optimizing over general functions f. Typically the function is efine f : R! R; that is its omain is multi-imensional (in this case -imensional) an output
More informationKeywords:- Fingerprint Identification, Hong s Enhancement, Euclidian Distance, Artificial Neural Network, Segmentation, Enhancement.
Volume 5, Issue 8, August 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Embedded Algorithm
More informationCombined Fingerprint Minutiae Template Generation
Combined Fingerprint Minutiae Template Generation Guruprakash.V 1, Arthur Vasanth.J 2 PG Scholar, Department of EEE, Kongu Engineering College, Perundurai-52 1 Assistant Professor (SRG), Department of
More informationAn Investigation in the Use of Vehicle Reidentification for Deriving Travel Time and Travel Time Distributions
An Investigation in the Use of Vehicle Reientification for Deriving Travel Time an Travel Time Distributions Carlos Sun Department of Civil an Environmental Engineering, University of Missouri-Columbia,
More informationA new fuzzy visual servoing with application to robot manipulator
2005 American Control Conference June 8-10, 2005. Portlan, OR, USA FrA09.4 A new fuzzy visual servoing with application to robot manipulator Marco A. Moreno-Armenariz, Wen Yu Abstract Many stereo vision
More informationFigure 1: Schematic of an SEM [source: ]
EECI Course: -9 May 1 by R. Sanfelice Hybri Control Systems Eelco van Horssen E.P.v.Horssen@tue.nl Project: Scanning Electron Microscopy Introuction In Scanning Electron Microscopy (SEM) a (bunle) beam
More informationPERFECT ONE-ERROR-CORRECTING CODES ON ITERATED COMPLETE GRAPHS: ENCODING AND DECODING FOR THE SF LABELING
PERFECT ONE-ERROR-CORRECTING CODES ON ITERATED COMPLETE GRAPHS: ENCODING AND DECODING FOR THE SF LABELING PAMELA RUSSELL ADVISOR: PAUL CULL OREGON STATE UNIVERSITY ABSTRACT. Birchall an Teor prove that
More information