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. © 2008 Springer Berlin Heidelberg.
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CITATION STYLE
Štruc, V., & Pavešić, N. (2008). A Palmprint Verification System Based on Phase Congruency Features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5372 LNCS, pp. 110–119). https://doi.org/10.1007/978-3-540-89991-4_12
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