AN APPROACH FOR SCANNING BASIC BUSINESS CARD IN ANDROID DEVICE

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1 AN APPROACH FOR SCANNING BASIC BUSINESS CARD IN ANDROID DEVICE Amareshwar Manjunath Bhat 1, Sahana S Patkar 2, Prof.Venugopal 3 1 MCA, 6th Semester, 2 BE, 8 th Semester CSE Department, 3 CSE Department NMAM Institute of Technology, Nitte, Udupi amareshwarbhat@gmail.com 2 sahanaspatkar@gmail.com 3 venugopalaps@gmail.com Abstract. We have seen many technologies which are used in banking and government sectors. As the day goes, new technology with new ideas will raise up to improve the work efficiency or to reduce the time. This paper tells you, how we can converge the technology and make it utilize. The topic is android image processing using tesseract ocr in addition to data storage. We have developed a project called Basic B-Card. This scans the paper in a real time and stores only the important information in android application database using pattern matching. Keywords: Android, Image processing, OCR, SQL Database, pattern matching. 1 Introduction Android is an open source platform for mobile devices. Android architecture is very suitable for image processing, researching. In this paper, we implement OCR technology and data storage on Android. Our work shows that Android can be an energy efficient tool for researchers to develop their own application. 1.1 Android Architecture Google has developed open source Android operating system for mobile platform which is also used in the net book [2]. Android is an easy and programmer friendly operating system makes it easier to write applications. As shown in Fig 1. Android runs a custom JVM on top of Linux kernel. It allows developers to write JAVA code with Google developed JAVA libraries. The Linux kernel has integrated camera diver, Wi-Fi driver, Bluetooth driver, etc. In the market, most of the Android devices have customized corresponding hardware [1]. Fig 1. Android Architecture Canara Engineering College Mangalore NJCIET

2 The OCR Process is divided into following phases pre-processing, segmentation, feature extraction and classification [4]. 1.2 Pre-processing It smoothens the digitized characters to remove noise. The smoothing implies both filling and thinning. Filling eliminates small breaks, gaps and holes in the digitized characters. Thinning reduces the width of the line. The normalization is applied to obtain characters of uniform size, slant and rotation. 1.3 Segmentation Segmentation is a classifier which helps to divide each character as a fragment from a word present in a given image/page. The goal of the segmentation is to extract each character from the text present in the image. After performing Segmentation, the characters of the string will be separated and it will be used for further processing. 1.4 Feature Extraction In this stage, the features of the characters that are crucial for classifying them at recognition stage are extracted. Following are the techniques for features extraction Template matching, Transformations, Distribution of points Structural features. 1.5 Classification In this process characters are identified and assigned to the correct character class Structural Methods. Measures of similarity based on relationships between structural components may be formulated by using grammatical concepts. 1.6 Post Processing Post processing divided as grouping, error-detection and correction. Grouping is the process of performing association of symbols into strings. Symbols that are found to be sufficiently close are grouped together. Whereas Error-detection and correction utilizes the possibility of sequences of characters appearing together. Fig 2. 2 METHODOLOGY Fig 2. The phases in OCR process Our target is to utilize the android devices for storage of data in an application using image processing and SQL database. For this OCR technology is very much efficient to do image processing. OCR stands for Optical Character Recognition. As soon as the image is captured by android device, it will be sent for image processing. Then as per the roles specified by OCR it scans the paper. Scanning means it digitalizes the characters which are present in that captured image. Digitalizing means conversion of image in a binary format. The digitalized files will be matched with the library files. The library file we have used is tess-two v3.03 [3]. This is basically Hp software. The library tess-two contains templates which has thousands of character formats. The tess-two library has 392 MB. Android provides facility for importing the libraries. By making use of that library we are able to call functions from tess-two. This library provides tessbase API to interface with java. API means Application Programming Interface. We have maintained a database which is for storage purpose in android using SQL. By taking the example of our project called Basic-business Card Reader. Fig 4, Fig 5. We store user information like First Name, Last Name, Phone Number, ID, Date Of Birth, Address and Face Book ID on android application database. Then we have given important features like quick call, Quick Message, Quick mail, Google map location for the address, Direct Connect to Face Book and in addition to that we have added Canara Engineering College Mangalore NJCIET

3 Group Message and Group Mail to increase the productivity. Our App provides smart user interface as well as quick access for the user. Next we integrated the OCR modules with this SQL database. As soon as the user clicks the photo, the information will get stored in our application database. This is the idea of the project. This technology is well suited for android devices like tablet or mobile and other kind of devices which has a good camera. This is a real time experiment. This OCR image processing uses no internet connection. That s why it will be great idea for those who are looking for data storage by paper scanning. Fig 3. Flowchart describing working of Basic B-Card App For example:- In government sectors such as Adhar card printing, renewal or verification, this android app scans the Adhar card and puts information in database. The data base has a particular format as per Adhar card. And hence this app reduces the time to type, validate and store. The same idea also applicable for almost all data storage and validation sectors. Other examples are Pan Card Fig 11, Ration card etc. There should be a strong patter matching in program to store the related information in database. Android application is more fluently developed using Java. This pattern matching technique divides the sentence based on space or any other specifiers and passes this information to Application database. Fig 3. Fig 4. Capture business card Canara Engineering College Mangalore NJCIET

4 Fig 5. Automatic storage of image information 3 ANALYSIS OCR in Android works well with text using DPI value of 300dpi. The following results are found when image was taken under different conditions. Showed in Fig 6, Fig 7, Fig 8, Fig 9, Table 1.When the image is blurred or dim light, taken under flash light, image containing noise and hand written images showed inappropriate results as shown in Fig 10. Fig 6. Noise in image Fig 7. Blurred image Canara Engineering College Mangalore NJCIET

5 Fig 8. Hand Written image By this we concluded that it works well with day light, noise free images, good quality camera (5MP onwards). While analyzing when we tried with colored image it showed good results. tess-two library works for 20+ fonts, It recognizes spaces between words, tess-two can support 10+ languages. The images with borders or anything other than text and images under dark or flash light, gave unknown results. This tess-two library does not work for handwritten texts. Operator mobile phone Total Number of Characters Recognized characters Accuracy Rate (%) Samsung Mobile Core dim Light *(100/49)=61 Samsung Mobile Galaxy Y dim Light *(100/49)=28 Sony Mobile dim Light *(100/49)=71.42 Accuracy Average 52.86% Asus Mobile dim light *(100/49)=51.02 Table 1. Values in dim light Fig 9. Values under different light conditions Canara Engineering College Mangalore NJCIET

6 Fig 10. Updated information Fig 11. Pan Card Example 4 RESULTS After the image capture, the extracted characters like Name, Number, and ID of user will be stored in Display contact Fig 4. Later user can update the other information like Address, FB ID, photo etc. user can even quickly call, message, to the respected person. This App provides facilities like group message, group . Person can even synch the system contacts with the stored contacts. Fig 5 Canara Engineering College Mangalore NJCIET

7 5 CONCLUSION AND FUTURE WORK This paper highlights on the OCR and the Database. From this Study, we can draw a conclusion that, Android is an Appropriate platform for image Processing research, because it has all the models for Image processing which makes it is easy to write applications. Image processing in Android for data storage is newly-risen concept. It is believed that the development of this project and related theory will benefit the research progress. The technology convergence of OCR with the database helps the developers. This is the basic idea for those developers who want to build a secure application on the basis of their area of interest as per the organization s specified format. REFERENCE 1. Wikipedia (operating system), last modified on 25 April 2011 at 02: Android Developers, 3. The Tesseract open source OCR engine, 4. Optical character recognition by Ravina Mithe, Supriya Indalkar, Nilam Divekar, International Journal of Recent Technology and Engineering (IJRTE) ISSN: , Volume-2, Issue-1, March 2013 Mr. Amareshwar Bhat received B.Sc in Computer Science from Dr.AV Baliga Kumta. Presently is pursuing MCA in Computer Application from NMAM Institute of Technology, Nitte. His Research area includes Android Application. Ms. Sahana S Patkar perusing B.E in Computer Science and Engineering from NMAM Institute of Technology, Nitte. Her Research area includes Android Application. Prof. Venugopala P. S. Obtained his BE degree from VTU, Belagavi and M.Tech from NITK Surathkal. He is currently working as Associate Professor in the department of Computer Science, NMAMIT, Nitte. His area of interest includes Image processing, Android Programming, Business Intelligence and Cloud Computing. Canara Engineering College Mangalore NJCIET