Advanced Method of Face Image Processing and Recognition Based on Ssim Technology

被引:0
作者
Chen, Qian [1 ]
机构
[1] BUPT, Int Sch, Beijing, Peoples R China
来源
PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC) | 2013年
关键词
face recognition; Advanced Multi-Reference Re-ranking; Local Feature; Compressed Global Feature; Structural Similarity (SSIM);
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
Recent advances in information and network technologies make verifying the identity of the operator necessary. The most promising technological development in this sphere is face recognition technology. To elucidate the mechanism of face recognition, this paper reviews the relevant literature on face recognition technology. After a careful comparative analysis of the pros and cons of different technologies, an Advanced Multi-Reference Re-ranking (AMR) of face recognition technology was carried out. This method includes three main elements: Local Feature, Compressed Global Feature and Structural Similarity (SSIM). The results show that the use of Local Feature can improve the re-ranking speed and the Compressed Global Feature and SSIM enhance the accuracy of detection.
引用
收藏
页码:2500 / 2504
页数:5
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