Occluded face recognition based on Gabor wavelets

被引：0
|
作者：
Kepenekci, B [1 ]
Tek, FB [1 ]
Akar, GB [1 ]
机构：
[1] Middle E Tech Univ, Dept Elect & Elect Engn, TR-06531 Ankara, Turkey
来源：
2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS | 2002年
关键词：
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：
A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.
引用
收藏
页码：293 / 296
页数：4
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