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

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dc.contributor.authorAttia, abdelouahab
dc.date.accessioned2019-12-29T08:49:12Z
dc.date.available2019-12-29T08:49:12Z
dc.date.issued2018-05
dc.description.abstractIn 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.en_US
dc.identifier.urihttps://dspace.univ-msila.dz/handle/123456789/19106
dc.language.isoenen_US
dc.publisherUniversité de M'silaen_US
dc.subjectBiometric Systems, Three Patch Local Binary Patterns, 1D Log Gabor filter, Finger Knuckle Printen_US
dc.titleFINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURES-LEVEL FUSION OF REAL AND IMAGINARY IMAGESen_US
dc.typeArticleen_US

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