文档介绍：人脸识别算法
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一种基于图象分析的柜员机-人脸识别算法的研究
摘 要
随着科技的发展和人类社会的进步，银行柜员机系统的安全性问题被人们越来越重视，普通柜员机无法识别是否其他人盗用银行卡取款。这几年人脸识别技术飞速发展，我们提出了一种基于人脸识别的银行柜员机系统以此来提高系统的安全性。
本文研究一种基于图像分析的模拟柜员机系统，本系统可对人脸进行识别，以此来提升模拟柜员机系统的安全性。
，Matlab主要实现界面可视化，。文中我们具体采用PCA（主成分分析）算法，通过提取数据的主要特征分量，进行数据降维处理，最终达到人脸识别的效果。
关键字：模拟柜员机系统；人脸识别 ；PCA算法
Research on a Case - Based Recognition Algorithm Based on Image Analysis
Abstract
With the development of science and technology and the progress of human society, the security problem of the bank ATM system has been paid more and more attention. Ordinary teller machine can not recognize whether or not people are using bank card withdrawals. In recent years, the rapid development of face recognition technology, we proposed a face recognition based on the bank teller system to improve the security of the ATM system. The face recognition operation is quick and easy, recognizing the high accuracy of identity and improving the problem well.
This paper studies an image-based simulation of the ATM - face recognition system, the system can be captured on the face image, create a face map, face training, face positioning, face image gray Processing, and finally determine whether this person is a person in the face database, in order to enhance the security of the ATM system.
The system in MatLab and. NET platform to achieve face recognition, Matlab, the main interface visualization, and. NET platform is to provide a development environment. In this paper, we use PCA (principal component analysis) algorithm, by extracting the main feature components of the data, the data dimension reduction processing, and finally achieve the effect of face recognition.
Key words: Analog Teller System；Face Recognition；PCA Algorith