Research on Face Recognition Based on Three Layer Image Generation

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Abstract:

In face recognition with single training sample cases the question of the low recognition rate, proposed a method of a kind of three layer virtual image. Using singular perturbation method to highlight the facial features, increase the quantity, scale change and sample attitude through the geometric transformation method, the spatial distribution of the improved method based on sample distribution. The experimental results on ORL face database show that this method can effectively on the single sample problem in the training sample pretreatment.

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2373-2376

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wu Jianxin, Zhou Zhihua. Face Recognition with One Training Image Per Person. Pattern Recognition Letters, 2002, 23(14): 1711-1719.

DOI: 10.1016/s0167-8655(02)00134-4

Google Scholar

[2] Chen Songcan, Zhang Daoqiang, Zhou Zhihua. Enhanced2(P C) A for Face Recognition with One Training Image Per Person. Pattern Recognition Letters, 2004, 25(10): 1173-1181.

DOI: 10.1016/j.patrec.2004.03.012

Google Scholar

[3] Zhang Daoqiang, Chen Songcan, Zhou Zhihua. A New Face Recognition Method Based on SVD Perturbation for Single Example Image Per Person. Applied Mathematics and Computation, 2005, 163(2): 895-907.

DOI: 10.1016/j.amc.2004.04.016

Google Scholar

[4] Yang Jian. Zhang D, Yang Jingyu. Two-dimensional PCA: A New Approach to Appearance-based Face Representation and Recognition. IEEE PAMI, 2004, 26(l): 131-137.

DOI: 10.1109/tpami.2004.1261097

Google Scholar

[5] Ryu Yeon-Sik, Oh Se-Young. Simple Hybrid Classifier for Face Recognition with Adaptively Generated Virtual Data. Pattern Recognition Letters, 2002, 23(7): 833-841.

DOI: 10.1016/s0167-8655(01)00159-3

Google Scholar