Title: Multi-resolution elongated CS-LDP with Gabor feature for face recognition

Authors: Xi Chen; Fangyuan Hu; Zengli Liu; Qingsong Huang; Jiashu Zhang

Addresses: School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China ' Si-Chuan province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, 610031, China

Abstract: Centre-symmetric local derivative pattern (CS-LDP) algorithm is proposed to describe the local second-order derivative feature of texture. However, CS-LDP can only describe second-order derivative feature of texture on four directions and lost some discriminant information on other directions. Addressing such problems, this paper proposed multi-resolution elongated CS-LDP (ME-CS-LDP) to solve such problem. By increasing the number of directions, which can be implemented by increasing the sampling points on the ellipse radius with interpolation, multi-resolution elongated CS-LDP can provide more discriminant information on more directions. Furthermore, our proposed multi-resolution elongated CS-LDP is defined in ellipse field to depict some important ellipse part of faces, like eyes and mouth. Gabor filter plus ME-CS-LDP/weighed ME-CS-LDP is used for face recognition in this paper. The experiment results on the illumination subset of Yale B database, the subset of PIE illumination database and VALID face database have validated the effectiveness of the proposed method.

Keywords: face recognition; Gabor filter; local binary pattern; multi-resolution elongated CS-LDP; biometrics; centre-symmetric LDP; local derivative pattern; texture features; discriminant information; ellipse field.

DOI: 10.1504/IJBM.2016.077103

International Journal of Biometrics, 2016 Vol.8 No.1, pp.19 - 32

Received: 17 Nov 2014
Accepted: 24 Jun 2015

Published online: 19 Jun 2016 *

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