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.

Links

• http://luks.fe.uni-lj.si/nluks/wp-content/uploads/2016/09/ROSKILDE.pdf
• doi:10.1007/978-3-540-89991-4_12

BibTeX (Download)

@conference{BioID2008,
title = {A palmprint verification system based on phase congruency features},
author = {Vitomir \v{S}truc and Nikola Pave\v{s}i\'{c}},
editor = {Ben Schouten and Niels Christian Juul and Andrzej Drygajlo and Massimo Tistarelli},
url = {http://luks.fe.uni-lj.si/nluks/wp-content/uploads/2016/09/ROSKILDE.pdf},
doi = {10.1007/978-3-540-89991-4_12},
year  = {2008},
date = {2008-01-01},
booktitle = {Biometrics and Identity Management},
volume = {5372},
pages = {110-119},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
series = {Lecture Notes on Computer Science},
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.},
keywords = {feature extraction, palmprint recognition, palmprint verification, palmprints, performance evaluation},
pubstate = {published},
tppubtype = {conference}
}