[attachment=6223]
Palmprint Authentication System

BY
Arjit Agrawal (0703010025)
Abhishek Patel (0703010007)
Ashish Gupta (0703010029)

Submitted to the Department of Computer Science
in partial fulfillment of the requirements
for the degree of
Bachelor of Technology

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ABSTRACT

Automated personal authentication using biometric features is getting
more and more popular for solving the security problems. A new branch of
biometric technology, palmprint authentication, has attracted increasing amount
of attention because palmprints are abundant of line features and thus low resolution images can be used. In this paper, we propose a new approach for palmprint feature extraction, template representation and matching. we present a novel biometric authentication system to identify a person's identity by his/her palmprint. In contrast to existing palmprint systems for criminal applications, the proposed system targets at the civil applications, which require identifying a person in a large database with high accuracy in real-time. The system is constituted by four major components: User Interface Module, Acquisition Module, Recognition Module and External Module. More than 7,000 palmprint images have been collected to test the performance of the system.