ICTACT Journal on Image and Video Processing

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Finger-Knuckle-Print Recognition System Based on Features-level Fusion of Real and Imaginary Images


Affiliations
1 Department of Computer Science, Mohamed El Bachir El Ibrahimi University of Bordj Bou, Arreridj, Algeria
2 Department of Computer Science, Ferhat Abbas University, Algeria
3 Department of New Technologies of Information and Communication, Ouargla University, Algeria
4 Department of Computer Science, University of Caen Lower, France
     

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In this paper, a new method based on Log Gabor- TPLBP (LGTPLBP) has been proposed. However the Three Patch Local Binary Patterns (TPLBP) technique used in face recognition has been applied in Finger-Knuckle-Print (FKP) recognition. The 1D- Log Gabor filter has been used to extract the real and the imaginary images from each of the Region of Interest (ROI) of FKP images. Then the TPLBP descriptor on both images has been applied to extract the feature vectors of the real image and the imaginary image respectively. These feature vectors have been jointed to form a large feature vector for each image FKP. After that, the obtained feature vectors of all images are processed directly with a dimensionality reduction algorithm, using linear discriminant analysis (LDA). Finally, the cosine Mahalanobis distance (MAH) has been used for matching stage. To evaluate the effectiveness of the proposed system several experiments have been carried out. The Hong Kong Polytechnic University (PolyU) FKP database has been used during all of the tests. Experimental results show that the introduced system achieves better results than other state-of-the-art systems for both verification and identification.

Keywords

Biometric Systems, Three Patch Local Binary Patterns, 1D Log Gabor Filter, Finger Knuckle Print.
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  • Finger-Knuckle-Print Recognition System Based on Features-level Fusion of Real and Imaginary Images

Abstract Views: 285  |  PDF Views: 5

Authors

Abdelouahab Attia
Department of Computer Science, Mohamed El Bachir El Ibrahimi University of Bordj Bou, Arreridj, Algeria
Abdelouahab Moussaoui
Department of Computer Science, Ferhat Abbas University, Algeria
Mourad Chaa
Department of New Technologies of Information and Communication, Ouargla University, Algeria
Youssef Chahir
Department of Computer Science, University of Caen Lower, France

Abstract


In this paper, a new method based on Log Gabor- TPLBP (LGTPLBP) has been proposed. However the Three Patch Local Binary Patterns (TPLBP) technique used in face recognition has been applied in Finger-Knuckle-Print (FKP) recognition. The 1D- Log Gabor filter has been used to extract the real and the imaginary images from each of the Region of Interest (ROI) of FKP images. Then the TPLBP descriptor on both images has been applied to extract the feature vectors of the real image and the imaginary image respectively. These feature vectors have been jointed to form a large feature vector for each image FKP. After that, the obtained feature vectors of all images are processed directly with a dimensionality reduction algorithm, using linear discriminant analysis (LDA). Finally, the cosine Mahalanobis distance (MAH) has been used for matching stage. To evaluate the effectiveness of the proposed system several experiments have been carried out. The Hong Kong Polytechnic University (PolyU) FKP database has been used during all of the tests. Experimental results show that the introduced system achieves better results than other state-of-the-art systems for both verification and identification.

Keywords


Biometric Systems, Three Patch Local Binary Patterns, 1D Log Gabor Filter, Finger Knuckle Print.

References