文章基本信息

标题：Face Recognition using Adaptive Neural Network
本地全文：下载
作者：Sajjad Ahmed Ghauri ; Hannan Adeel ; Syed Shajar Abbas 等
期刊名称：IJCCER
印刷版ISSN：2321-418X
电子版ISSN：2321-4198
出版年度：2013
卷号：1
期号：4
页码：111-114
语种：English
出版社：Eoryx Publications
摘要：In recent years, the demand for face recognition systems has increased rapidly. Face Detection and Recognition is applied for security purposes, criminal list verification, voter’s identification, biometric attendance and digital cameras etc.Many methods have been developed for reliable and accurate face recognition systems. In past, The frontal, profile, and view-tolerant face recognition was carried out which depends on the kind of imagery and the recognition algorithm used.. In this research paper Back Propagation Algorithm (BPA) and Principal Component Analysis (PCA) have been utilized for face recognition on frontal face images only. The proposed approach consists of three parts i.e. Skin segmentation, Face Detection and Face Recognition. BPA is used for training Neural Network whereas dimension reduction and recognition is carried out using PCA. Using Neural Networks along with PCA enhances the performance of Face Recognition system by reducing the computational complexity.
关键词：Face Recognition;Back Propagation Algorithm (BPA);Principle Component Analysis (PCA)