A Palmprint Recognition System Based on Gabor Wigner Transform as Feature Extraction Technique

Author

Saini, Nirmala ; Sinha, Aloka

Author_Institution

Dept. of Phys., Indian Inst. of Technol. Delhi, New Delhi, India

fYear

2011

fDate

17-18 Nov. 2011

Firstpage

1

Lastpage

5

Abstract

In the present paper, a palmprint recognition system has been proposed in which the recently proposed Gabor-Wigner transform (GWT) has been used to extract the features from the palmprint images. The novelty of the system lies in the fact that GWT has been used for the first time for feature extraction in a biometric system. A particle swarm optimization technique has been used to select the significant features and to reduce the dimension of the obtained feature vectors while keeping the same level of performance. The receiver operating characteristic (ROC) curve and the equal error rate (EER) have been used to evaluate the performance of the technique.

Keywords

feature extraction; palmprint recognition; particle swarm optimisation; transforms; EER; Gabor Wigner transform; ROC; biometric system; equal error rate; feature extraction technique; feature vectors; palmprint recognition system; particle swarm optimization technique; receiver operating characteristic curve; Distribution functions; Feature extraction; Gabor filters; Particle swarm optimization; Spatial resolution; Transforms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Hand-Based Biometrics (ICHB), 2011 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-0491-8

Electronic_ISBN

978-1-4577-0489-5

Type

conf

DOI

10.1109/ICHB.2011.6094310

Filename

6094310