Face recognition using a hybrid supervised unsupervised neural network

被引：45

作者：

Intrator, N

Reisfeld, D

Yeshurun, Y

机构：

[1] Department of Computer Science, Tel-Aviv University

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 01期

关键词：

face recognition; Neural Networks; interest points; symmetry operator;

D O I：

10.1016/0167-8655(95)00089-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A system for automatic face recognition is presented. It consists of several steps. Automatic detection of the eyes and mouth is followed by a spatial normalization of the images. The classification of the normalized images is carried out by a hybrid (supervised and unsupervised) Neural Network. Two methods for reducing the overfitting - a common problem in high-dimensional classification schemes - are presented, and the superiority of their combination is demonstrated.

引用

页码：67 / 76

页数：10

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