Face recognition method base local ternary derivative pattern

Qi Yongfeng; Huo Yuanlian

In order to reduce noise and extract richer discriminant feature, the local ternary local derivative pattern operator was proposed. By determining whether the adjacent pixel gray values within a certain range, the local derivative pattern of current pixel was extended from binary to ternary, and the face feature vector was formed by sequentially connecting the uniform pattern of the space histogram of the encode. The chi-square statistic was used to calculate the sample similarity of face feature vector. The experimental results on ORL, Yale and CAS-PEAL-R1 face database show that the recognition performance of the proposed algorithm was superior to local binary pattern and local derivative pattern.

1. College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China;

2. College of Physics and Electronic Egineering,Northwest Normal University,Lanzhou 730070,China

Received Date: 2013-06-05

Rev Recd Date: 2013-07-15

Publish Date: 2014-02-25

Key words:

Abstract: In order to reduce noise and extract richer discriminant feature, the local ternary local derivative pattern operator was proposed. By determining whether the adjacent pixel gray values within a certain range, the local derivative pattern of current pixel was extended from binary to ternary, and the face feature vector was formed by sequentially connecting the uniform pattern of the space histogram of the encode. The chi-square statistic was used to calculate the sample similarity of face feature vector. The experimental results on ORL, Yale and CAS-PEAL-R1 face database show that the recognition performance of the proposed algorithm was superior to local binary pattern and local derivative pattern.

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[1]	Wang Yude, Zhao Huanli, Xue Naiyu. Feature extraction and recognition algorithm of human face based on intersected wavelet transform and 2DPCA[J]. Infrared and Laser Engineering, 2012, 42(11): 3118-3122. (in Chinese)
[2]
[3]	Turk M, Pentland A. Eigenfaces for recognition[J]. Journal of Cognitive Neuroscience, 1991, 3(1): 71-86.
[4]	王玉德, 赵焕利, 薛乃玉. 基于分块小波变换和2DPCA 的人脸特征提取与识别算法[J]. 红外与激光工程, 2012, 42(11): 3118-3122.
[5]	Belhumeur P N, Hespanha J P, Kreigman D J. Eigenfaces vs. fisherfaces: recognition using class specific linear projection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720.
[6]
[7]
[8]	Bartlett M S, Movellan J R, Sejnowski T J. Face recognition by independent component analysis[J]. IEEE Transactions on Neural Networks, 2002, 13(6): 1450-1464
[9]	Ojala T, Pietikinen M, Menp T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24 (7): 971-987.
[10]
[11]
[12]	Zeng Hui, Mu Zhichun, Wang Xiuqing. A robust method for local image feature region description[J]. Acta Automatica Sinica, 2011, 37(6): 658-664. (in Chinese)
[13]
[14]	Ahonen T, Hadid A, Pietikinen M. Face description with local binary patterns: application to face recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(12): 2037-2041.
[15]
[16]	Dai Jinbo, Xiao Xiao, Zhao Hongwei. Human face recognition based on low resolution local binary pattern[J]. Journal of Jilin University(Engineering and Technology Edition), 2013, 43(2): 435-438. (in Chinese)
[17]	曾慧, 穆志纯, 王秀青. 一种鲁棒的图像局部特征区域的描述方法[J]. 自动化学报, 2011, 37(6): 658-664.
[18]	Nanni L, Lumini A, Brahnam S. Survey on LBP based texture descriptors for image classification[J]. Expert Systems with Application, 2012, 39(3): 3634-3641.
[19]
[20]	Shan C, Gong S, McOwan P W. Facial expression recognition based on local binary patterns: a comprehensive study[J]. Image and Vision Computing, 2009, 27 (6): 803-816
[21]	Zhang B, Gao Y, Zhao S, et al. Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor[J]. IEEE Transactions on Image Processing, 2010, 19(2): 533-544
[22]
[23]	Gao W, Cao B, Shan S, et al. The CAS-PEAL large-scale chinese face database and baseline evaluations[J]. IEEE Trans on System Man, and Cybernetics(Part A), 2008, 38(1): 149-161.
[24]
[25]	戴金波, 肖霄, 赵宏伟. 基于低分辨率局部二值模式的人脸识别[J]. 吉林大学学报(工学版), 2013, 43(2): 435-438.
[26]
[27]
[28]
[29]

Face recognition method base local ternary derivative pattern

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