Alternative Matching Schemes For Automatic Fingerprint Identification Systems

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Title: Alternative Matching Schemes For Automatic Fingerprint Identification Systems
Author: Futer, Michael Jason
Abstract: Biometrics is a recognition technology that uses the unique behavioral and physiological traits of the human body as identifiers . The fingerprint is one of the oldest and most widely used forms of biometric identifiers . In this thesis , an automatic fingerprint identification system designed by a previous Electrical Engineering graduate student at The University of Texas at Arlington is upgraded with the purpose of improving matching accuracy . A review of the baseline automatic fingerprint identification system is provided as a reference point for improvements in the system . Then , improvements to the image enhancement stage of the baseline system are discussed . They include replacing the simple transformation contrast stretching algorithm with the "contract and stretch" algorithm and upgrading the threshold variance in image segmentation to a threshold variance to mean ratio . Next , improvements to the feature extraction and fusion stage of the baseline system are covered . A new method for quantizing ridge direction estimates in the direction image is included in this section . Finally , alternative matching schemes are implemented in the correlation -based matching stage of the baseline system . The new matching schemes include direction only feature , density only feature , two channels with addition -type fusion , two channels with multiplication -type fusion and two templates per class . At the end , simulations are performed in order to test the performance of the improvements implemented in the automatic fingerprint identification system .
URI: http : / /hdl .handle .net /10106 /5398
Date: 2011-03-03

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Alternative Matching Schemes For Automatic Fingerprint Identification Systems. Available electronically from http : / /hdl .handle .net /10106 /5398 .

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