ICTACT Journal on Image and Video Processing

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A Novel System based on Phase Congruency and Gabor - Filter Bank for Finger Knuckle Pattern Authentication


Affiliations
1 Department of Computer Science, Mohamed El Bachir El Ibrahimi University, Algeria
2 LMSE Laboratory, Mohamed El Bachir El Ibrahimi University, Algeria
3 Department of Computer Science, Mohamed Boudiaf University, Algeria
     

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The authentication of individuals based on Finger Knuckle print (FKP) is a very interesting system in the biometric community. In this paper, we introduce a biometric authentication system based on the FKP trait which consists of four stages. The first one is the extraction of the Region of Interest (ROI). The Phase Congruency method with Gabor filters bank descriptors has been used in the feature extraction stage. Then to enhance the performance of the proposed scheme the Principle Component Analysis (PCA) + Linear Discriminant Analysis (LDA) method has been used in the dimensionality reduction stage. Finally, cosine Mahalanobis distance has been used in the matching stage. Experiments were conducted on the FKP PolyU Database which are publicly available. The reported results with comparison to previous methods prove the effectiveness of the proposed scheme, as well as the given system can achieve very high performance in both the identification and verification modes.

Keywords

Finger Knuckle Print, Phase Congruency, Gabor Filters Bank, Score-Level-Fusion.
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  • A Novel System based on Phase Congruency and Gabor - Filter Bank for Finger Knuckle Pattern Authentication

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Authors

Rabah Hammouche
Department of Computer Science, Mohamed El Bachir El Ibrahimi University, Algeria
Abdelouahab Attia
LMSE Laboratory, Mohamed El Bachir El Ibrahimi University, Algeria
Samir Akrouf
Department of Computer Science, Mohamed Boudiaf University, Algeria

Abstract


The authentication of individuals based on Finger Knuckle print (FKP) is a very interesting system in the biometric community. In this paper, we introduce a biometric authentication system based on the FKP trait which consists of four stages. The first one is the extraction of the Region of Interest (ROI). The Phase Congruency method with Gabor filters bank descriptors has been used in the feature extraction stage. Then to enhance the performance of the proposed scheme the Principle Component Analysis (PCA) + Linear Discriminant Analysis (LDA) method has been used in the dimensionality reduction stage. Finally, cosine Mahalanobis distance has been used in the matching stage. Experiments were conducted on the FKP PolyU Database which are publicly available. The reported results with comparison to previous methods prove the effectiveness of the proposed scheme, as well as the given system can achieve very high performance in both the identification and verification modes.

Keywords


Finger Knuckle Print, Phase Congruency, Gabor Filters Bank, Score-Level-Fusion.

References