41 Face Recognition Using Genetic Algorithm and Back Propagation Neural Network

被引：0

作者：

Anam, Sarawat ^{[1
]}

Islam, Md Shohidul ^{[2
]}

Kashem, M. A. ^{[2
]}

Islam, M. N. ^{[2
]}

Islam, M. R. ^{[2
]}

Islam, M. S. ^{[2
]}

机构：

[1] RUET, Rajsahi 6204, Bangladesh

[2] Dhaka Univ Engn & Technol, Dept Comp Sci, Gazipur 1700, Bangladesh

来源：

IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年

关键词：

Genetic Algorithm; BPN; Image Enhancement; Feature Extraction;

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, a face recognition system for personal identification and verification using Genetic algorithm and Back-propagation Neural Network is proposed. The system consists of three steps. At the very outset some pre-processing are applied on the input image. Secondly face features are extracted, which will be taken as the input of the Back-propagation Neural Network (BPN) and Genetic Algorithm (GA) in the third step and classification is carried out by using BPN and GA. The proposed approaches are tested on a number of face images. Experimental results demonstrate the higher degree performance of these algorithms.

引用

页码：811 / +

页数：2

共 12 条

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