Face recognition using neural networks

被引：0
|
作者：
Jamil, N [1 ]
Iqbal, S [1 ]
Iqbal, N [1 ]
机构：
[1] Fatima Jinnah Women Univ, Rawalpindi, Pakistan
来源：
IEEE INMIC 2001: IEEE INTERNATIONAL MULTI TOPIC CONFERENCE 2001, PROCEEDINGS: TECHNOLOGY FOR THE 21ST CENTURY | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we depict an experiment to the face recognition problem by combining Eigenfaces and neural network. Eigenfaces are applied to extract the relevant information in a face image, which are important for identification. Using this we can represent face pictures with several coefficients (about twenty) instead of having to use the whole picture. Neural networks are used to recognize the face through learning correct classification of the coefficients calculated by the Eigenfaces algorithm. The network is being trained on the pictures from the face database first, and then it is ready to identify face pictures given to it. Eight subjects (persons) were used in a database of 80 face images. A recognition accuracy of 95.6% was achieved with vertically oriented frontal views of human face.
引用
收藏
页码：277 / 281
页数：5
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