Improved Face Recognition Algorithm Using Extended Vector Quantization Histogram Features

被引：0
作者：
Yan, Yan [1 ]
Lee, Feifei [1 ]
Chen, Qiu [1 ]
机构：
[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai, Peoples R China
来源：
PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) | 2016年
关键词：
face recognition; vector quantization (VQ); markov stationary features (MSF);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose an improved face recognition approach based on the combination of Vector Quantization (VQ) and Markov Stationary Feature (MSF) which obtain the extended MSF-VQ features from facial sub-regions for face recognition. It can not only utilize the MSF framework to extend the VQ histogram based features with the spatial structure information but can also incorporate more location information extracted from different facial sub-regions so as to improve the accuracy of face recognition system. We demonstrate our proposed algorithm utilizing FB category of FERET face database and the maximum top1 recognition rate of 97.6% is obtained.
引用
收藏
页码：1046 / 1050
页数：5
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