An effective face recognition algorithm based on parallel local phase quantization and matching degree

Issue title: Recent advancements in computer, communication and computational sciences

Guest editors: K.K. Mishra

Article type: Research Article

Authors: Sang, Haitao^{a; b; *} | Zhou, Zhen^a | Qu, Fang^c | Ke, Qiao^d

Affiliations: [a] College of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin, P.R. China | [b] College of Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin, P.R. China | [c] Engineering Training Center, Heilongjiang University of Science and Technology, Harbin, P.R. China | [d] Department of Electrical Engineering, University of North Texas, Denton, TX, USA

Correspondence: [*] Corresponding author. Haitao Sang. Tel.: +86 18800421867; E-mail: sanghaitao@aliyun.com.

Abstract: In order to improve the recognition rate and the recognition time of the low resolution image, the face recognition technology based on matching degree and local phase quantization is studied. In face recognition, the dynamic time warping strategy is applied to the fast extraction of face contour, and a parallel matching local phase quantization algorithm is proposed to realize the face recognition, which can be expressed by a number of 2D curves extracted from the surface. The experimental results verify the feasibility and effectiveness of the proposed algorithm on the face database of ORL, Yale B and AR, and show it can obtain better recognition results especially in real time and robustness.

Keywords: Face recognition, matching degree, feature extraction, local phase quantization

DOI: 10.3233/JIFS-169278

Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3377-3385, 2017