文章基本信息

标题：Face Detection and Recognition Technology for HCI based on RBF Neural Network
本地全文：下载
作者：Ning Zhang ; Eung-Joo Lee
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：12
页码：331-340
DOI：10.14257/ijmue.2015.10.12.32
出版社：SERSC
摘要：In this paper, feature extraction and facial recognition are studied in order to resolve problems like high-dimension problem, small size samples and no-linear separable problem that exist in facial recognition technology. In the part of feature extraction we use a Discrete Cosine Transform (DCT) algorithm, to extract the input features in building a face recognition system. The RBF neural network, which represents brilliant performance on small training sets, non-linear separable and high-dimension pattern recognition problems in the recognition stage, is used for pattern classification. The proposed approach is validated with the ORL database. Experimental results demonstrate the effectiveness of this method in the performance of face recognition.
关键词：Face Detection; DCT; Face Recognition; RBF