Authors: Zhen Zhou Wang; Xing Xing Xu; Li Li; Wei Liu
Addresses: School of Information Science and Engineering, Hebei University of Science and Technology, Hebei, Shijiazhuang 050018, China ' Department of Computer Science, Baoding Vocational and Technical College, Baoding, China ' School of Physics and Electrical Information Engineering, Shijiazhuang University, Hebei, Shijiazhuang 050035, China ' Department of Mathematics, Hebei Vocational College of Chemical and Pharmaceutical Technology, Hebei, Shijiazhuang 050026, China
Abstract: For facial recognition of those wearing glasses, this paper first proposes a DRNLGBP algorithm based on DIMPCA and non-uniform local Gabor binary pattern method combined with random sampling. The algorithm firstly extracts and supplements the contour by the DIMPCA, and then it adopts the local Gabor binary pattern to represent the facial image, by which characteristic information of multi-scale and multi-direction can be extracted and can make the recognition less sensitive to illumination and more robust to noise. The paper also describes the non-uniform region division strategy, which can ensure sufficient image spatial information acquisition while treating the content information differently at the same time with weakening interference to adjustment from glasses. The experimental result shows that this method is more effective for facial recognition rate improvement for those wearing glasses than traditional methods, significantly reducing the influence of surrounding light degree.
Keywords: non-uniform local binary; DRNLGBP algorithmic; stochastic subspace identification; memory controller.
International Journal of Computer Applications in Technology, 2018 Vol.57 No.2, pp.104 - 111
Received: 24 Feb 2017
Accepted: 27 Feb 2017
Published online: 30 Apr 2018 *