FINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURES-LEVEL FUSION OF REAL AND IMAGINARY IMAGES

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.

Authors
Abdelouahab Attia1, Abdelouahab Moussaoui2, Mourad Chaa3, Youssef Chahir4
Mohamed El Bachir El Ibrahimi University of Bordj Bou Arreridj, Algeria1, Ferhat Abbas University, Algeria2, Ouargla University, Algeria3, University of Caen Lower, France4

Keywords
Biometric Systems, Three Patch Local Binary Patterns, 1D Log Gabor filter, Finger Knuckle Print
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 8 , Issue: 4 )
Date of Publication :
May 2018
DOI :

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