人工神经网络在人脸识别分类中的应用

Artificial Neural Network Application on Face Classification

在人脸识别技术不断发展的今天，人们已经不局限于能够识别出人脸，更主要的侧重于人脸识别的准确性和高效性。人脸识别主要分成3个步骤人脸检测、特征提取、识别分类，其中识别分类的方法决定了是否能够正确识别出人脸。BP神经网络具有正向传播和反向传播的特性，从而保证了分类的准确性，所以本文中笔者主要研究如何在MATLAB中把BP神经网络应用在人脸的识别分类上。

In the face recognition technology is developing continuously,people not limited to recognize the human face,but the main emphasis on the accuracy and efficiency of face recognition.Face recognition is divided into three steps,face detection,feature extraction,recognition category, identification and classification of the methods in which the decision of whether to correctly identify the human face.BP neural network with forward propagation and back propagation characteristics,so as to ensure the accuracy of classif-ication,Therefore,the main author of this article how to MATLAB,the BP neural network used in face recognition classification.