Fingerprint Verification System Based On Neural Network Analysis

Mohd Irwan, Salleh (2006) Fingerprint Verification System Based On Neural Network Analysis. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The use of fingerprint for identification has been employed in law enforcement for about a century. A much broader application of fingerprint is for personal authentication, for instance to access a computer, a network, a bank-machine, a car, or a home. Fingerprint verification system based on neural network analysis is a process of verifying the fingerprint. This project highlights the development of fingerprint verification system using MA TLAB. Verification is done by comparing the data of fingerprint with true owner fingerprint. The fingerprint images then will go through the processing data and comparison process to differentiate the data fingerprint In this project, a backpropagation neural network algorithm in toolbox MA TLAB was trained to learn and identify whether the fingerprint is genuine or forgery.

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