Orientation histograms for face recognition

被引：0
|
作者：
Schwenker, Friedhelm [1 ]
Sachs, Andreas [1 ]
Palm, Guenther [1 ]
Kestler, Hans A. [1 ]
机构：
[1] Univ Ulm, Dept Neural Informat Proc, D-89069 Ulm, Germany
来源：
ARTIFICIAL NEURAL NETWORKS IN PATTERN RECOGNITION, PROCEEDINGS | 2006年 / 4087卷
关键词：
orientation histograms; face recognition;
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：
In this paper we present a method to recognize human faces based on histograms of local orientation. Orientation histograms were used as input feature vectors for a k-nearest neigbour classifier. We present a method to calculate orientation histograms of n x n subimages partitioning the 2D-camera image with the segmented face. Numerical experiments have been made utilizing the Olivetti Research Laboratory (ORL) database containing 400 images of 40 subjects. Remarkable recognition rates of 98% to 99% were achieved with this extremely simple approach.
引用
收藏
页码：253 / 259
页数：7
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