Make biometric-based person identification system applicable

Abstract

Personal identification and verification are playing more and more important role in the society. Traditional authentication method such as password and smart card, often cannot meet today’s security as they can be easily forgotten, lost or stolen. Biometric technology has appeared as a new solution to these problem. Among all the variable biometric technologies, automatic palmprint verification is an important complement to biometric authentication.

Biometric refers to the identification of humans by their physiological characteristics or traits such as voice, DNA, hand print or behaviour with the use of Digital Image Processing and Pattern Recognition technologies. Generally, biometrics involves comparing a person’s physical features to the image of those features stored on a computer system in order to determine or verify the identity.

This project comprises of 5 main modules which are Image Acquisition, Palm Positioning, Feature Extraction, Identification Phase I and Identification Phase II. The biometric-based person identification system works on an 8-bit gray scale palmprint TIFF image. Region of Interest (ROI) extraction is then performed so that the palms are properly aligned and normalized. After extracting the clip Region of Interest (ROI), the system generates the Line Edge Map (LEM) representation of the palmprint features, and performs features matching based on Line Segment Hausdorff Distance.

In this project, biometric-based person identification system of the identification module is migrated from C++ programming language to C# programming language, keeping the functionality similar to original system. Migration of this system from C++ to C# is needed as the past system is getting old and some functionality is obsolete, therefore, it is necessary to clean up the system to ensure a better time performance in palmprint feature matching.