A new entropy-based algorithm for face localization

被引：0
|
作者：
Alirezaee, S [1 ]
Kanan, HR [1 ]
Faez, K [1 ]
Aghaeinia, H [1 ]
机构：
[1] Univ Zanjan, Dept Elect Engn, Zanjan, Iran
来源：
2005 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), VOLS 1 AND 2 | 2005年
关键词：
face localization; face detection; face recognition; entropy;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Detecting and localizing a face in a single image is the most important part of almost all face recognition systems. Face localization aims to determine the image position of a face for verification purpose of documents such as passport. driving license, ID cards, etc. In this paper an entropy-based method is proposed for detecting the high information region of the image which may include eyes, mouth, nose, etc. The derived regions in this stage of recognition are sent to feature extraction and classification phase. The method has been tested on the ORL database. The results show the effectiveness and robustness of the proposed method for face detection and localization in presence of white additive gaussian noise zip to 25 dbw. We have achieved localization rate 99.75% for defection of faces in the ORL data set that we had which means 1 miss over 400 ORL faces.
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页码：306 / 310
页数：5
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