Face Recognition Based on Block PCA algorithm and Elman neural network

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Shi, Ying^1 ; Feng, Daoming^2

Department of Public Basic Course, College of Wuhan Technology and Business University, Wuhan Hubei

430065, China^1

College of Mathematics and Computer Science, Xinyu University, Xinyu Jiangxi

338000, China^2

关键词: Block PCA;    Different sizes;    Elman neural network;    Face image processing;    Face image recognition;    Face images;    Identification accuracy;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/5/052005/pdf
DOI  :  10.1088/1757-899X/382/5/052005

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

A method of face image recognition based on Elman neural network and block PCA algorithm is put forward. In this method, the first step is to use block PCA algorithm for the face image processing, and gain the face image features of different block number. These features are the inputs of Elman neural network, the output is the corresponding category. The experiment is based on ORL face images database, the simulation partition of the face images into the different sizes for the testing respectively. Through the above experiment results which show that, face image recognition based on the block PCA algorithm and artificial neural network is effective. The application of block PCA algorithm improves the identification accuracy of face image recognition, and which can be used in the further research.