Salma Ben Jemaa, Mohamed Hammami


Palmprint recognition, as a reliable personal identity method, has been received increasing attention and become an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending of the capture system to ensure public security based on identification with palmprint. This system is based on a new global approach which is to focus only on areas of the image having the most discriminating features for recognition. Experimental results have been undertaken on two large databases, namely,“CASIA-Palmprint” and “PolyU-Palmprint” show promising result and demonstrate the effectiveness of the proposed approach.


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Paper Citation

in Harvard Style

Ben Jemaa S. and Hammami M. (2011). PALMPRINT RECOGNITION BASED ON REGIONS SELECTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 320-325. DOI: 10.5220/0003317803200325

in Bibtex Style

author={Salma Ben Jemaa and Mohamed Hammami},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
SN - 978-989-8425-47-8
AU - Ben Jemaa S.
AU - Hammami M.
PY - 2011
SP - 320
EP - 325
DO - 10.5220/0003317803200325