ICICS-2011 Beijing, China

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Transcription:

An Efficient Finger-knuckle-print based Recognition System Fusing SIFT and SURF Matching Scores G S Badrinath, Aditya Nigam and Phalguni Gupta Indian Institute of Technology Kanpur INDIA ICICS-2011 Beijing, China Presenter Aditya Nigam

Biometrics Based Authentication Systems They are required badly as places like airports, ATMs others. Modes Verification Identification Several Traits Face Fingerprint Iris Palmprint Ear Knuckleprint (recently introduced)

Several challenges Face (Occlusion, Expression, Illumination, Pose, Ageing) Iris (Difficult and expensive to acquire, Occlusions) Fingerprints (Dirty fingers, Fail to acquire) Knuckleprints

Knuckleprint Database PolyU Hong Kong FKP database is the largest publically available database. It consist of 165 Subjects 4 fingers per subject (165x4=660 distinct subjects) 12 images per finger (660x12=7920 images) taken in different sessions.

Previous Work Used Global as well as Local feature. Also Combined and fused both of them. PCA, ICA and LDA used but they didn t perform well also computationally very expensive. Global feature BLPOC (Band Limited Phase only Correlation) performed well when fused with local features such as Compcode. Finally Compcode is improved to ImCompcode and Magcode to achieve better accuracy.

Block Diagram of Proposed Recognition System

Various Steps involved in Proposed System Enhancement Feature Extraction SIFT SURF Matching Fusion

FKP ENHANCEMENT Fingerknuckle-print Estimated coarse reflection Uniform brightness knuckleprint image Enhanced Knuckleprint image

SIFT FEATURE EXTRACTION STEPS 1. Scale-space extrema detection 2. Key-point localization 3. Orientation assignment 4. Key-point descriptor Feature vector of 64 values

FEATURE EXTRACTION (contd.) SURF 1. Key-point detector 2. Key-point descriptor Feature vector of 64 values

EXTRACTED SIFT and SURF Points

MATCHING Nearest neighbour-ratio method is used for both SIFT and SURF key-points Here q i e j and q i e k are euclidean distance between qi and its first neighbour (i.e e j ) and second one (i.e e k )

MATCHING (contd.)

MATCHING (contd.)

FUSION (Weighted Sum Rule)

EXPERIMENTAL RESULT

PERFORMANCE

PERFORMANCE AGAINST SCALE

PERFORMANCE AGAINST SCALE (contd.)

PERFORMANCE AGAINST SCALE (contd.)

PERFORMANCE AGAINST SCALE (contd.)

PERFORMANCE(SPEED)

REFERENCE 1. Herbert Bay, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool. Speeded-up robust features. Computer Vision and Image Understanding, 110:346 359, 2008 2. M. Choras and and R. Kozik. Knuckle biometrics based on texture features. In International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, pages 1 5, 2010 3. Anil K. Jain, Patrick Flynn, and Arun A. Ross. Handbook of Biometrics. Springer-Verlag, USA, 2007 4. W. O. Jungbluth. Knuckle print identification. Journal of Forensic Identification, 39:375 380, 1989 5. A. Kumar and C. Ravikanth. Personal authentication using finger knuckle surface. IEEE Transactions on Information Forensics and Security, 4(1):98 110, 2009 6. A. Kumar and Y. Zhou. Personal identification using finger knuckle orientation features Electronics Letters, 45(20):1023 1025, 2009

REFERENCE (contd.) 7. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60:91 110, 2004 8. Krystian Mikolajczyk and Cordelia Schmid. A performance evaluation of local descriptors. IEEE Transaction Pattern Analysis Machine Intelligence, 27:1615 1630, October 2005 9. A. Morales, C.M. Travieso, M.A. Ferrer, and J.B. Alonso. Improved fingerknuckle-print authentication based on orientation enhancement. Electronics Letters, 47(6):380 381, 2011 10. Damon L. Woodard and Patrick J. Flynn. Finger surface as a biometric identifier. Computer Vision and Image Understanding, 100:357 384, 2005 11. L. Zhang, L. Zhang, and D. Zhang. Finger-knuckle-print: A new biometric identifier. In International Conference Image Processing, pages 1981 1984, 2009 12. L. Zhang, L. Zhang, and D. Zhang. Finger-knuckle-print verification based on band-limited phase-only correlation. In International Conference on Computer Analysis of Images and Patterns, pages 141 148, 2009

REFERENCE (contd.) 13. L. Zhang, L. Zhang, D. Zhang, and H.L. Zhu. Online finger-knuckleprint verification for personal authentication. Pattern Recognition, 43(7):2560 2571, July 2010 14. Lin Zhang, Lei Zhang, and D. Zhang. Monogeniccode: A novel fast feature coding algorithm with applications to finger-knuckle-print recognition. In International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, pages 1 4, 2010 15. Lin Zhang, Lei Zhang, David Zhang, and Hailong Zhu. Ensemble of local and global information for finger-knuckle-print recognition. Pattern Recognition, 44(9):1990 1998, 2011

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