Biometric recognition system for challenging faces
Document Type
Conference Article
Publication Title
2015 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2015
Abstract
A novel method for face recognition system using challenging profile and frontal faces is proposed in this paper. The proposed face recognition system consists of pre-processing, feature extraction and classification components. In this work, for pre-processing, the face region is extracted using facial landmark points, obtained by the tree structured part model. During feature extraction, SIFT descriptors are computed from the detected face region, and Spatial Pyramid Matching approach based on Locality constraints Linear Coding technique is employed for feature representation. Finally multi-class linear SVM classifier is employed to do the classification job. Extensive experimental results have been performed to show that the proposed algorithm has satisfying performance as compared to existing methods for IITK, CASIA-FACE-V5, LIBOR, ORL and Extended YALE-B face databases.
DOI
10.1109/NCVPRIPG.2015.7490063
Publication Date
6-10-2016
Recommended Citation
Umer, Saiyed; Dhara, Bibhas Chandra; and Chanda, Bhabatosh, "Biometric recognition system for challenging faces" (2016). Conference Articles. 680.
https://digitalcommons.isical.ac.in/conf-articles/680
