A Palmprint Verification System Based on Phase Congruency Features

Authors:
Vitomir Štruc;Nikola Pavešić
Affiliations:
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia SI-1000;Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia SI-1000
Venue:
Biometrics and Identity Management
Year:
2008

Citing 7
Cited 0

Palmprint recognition using eigenpalms features

Pattern Recognition Letters
Online Palmprint Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisherpalms based palmprint recognition

Pattern Recognition Letters
A Biometric Identification System Based on Eigenpalm and Eigenfinger Features

IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal authentication using hand images

Pattern Recognition Letters
Hand biometrics

Image and Vision Computing
Personal authentication using multiple palmprint representation

Pattern Recognition

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Abstract

The paper presents a fully automatic palmprint verification system which uses 2D phase congruency to extract line features from a palmprint image and subsequently performs linear discriminant analysis on the computed line features to represent them in a more compact manner. The system was trained and tested on a database of 200 people (2000 hand images) and achieved a false acceptance rate (FAR) of 0.26% and a false rejection rate (FRR) of 1.39% in the best performing verification experiment. In a comparison, where in addition to the proposed system, three popular palmprint recognition techniques were tested for their verification accuracy, the proposed system performed the best.