文章基本信息

标题：Similarity of Inference Face Matching On Angle Oriented Face Recognition
本地全文：下载
作者：R.N.V.Jagan Mohan ; R. SubbaRao ; K.Raja Sekhara Rao 等
期刊名称：Computer Engineering and Intelligent Systems
印刷版ISSN：2222-1727
电子版ISSN：2222-2863
出版年度：2012
卷号：3
期号：2
页码：45-52
语种：English
出版社：International Institute for Science, Technology Education
摘要：Abstract : Face Recognition is a well-known image processing technique that has been used in many applications like Law enforcement security, Bio-Metric Systems etc. In this paper complete image of face recognition algorithm is proposed. In the prepared algorithm the local information is extracted using angle oriented discrete cosine transforms and invokes certain normalization techniques. To increase the Reliability of the Face detection process, neighborhood pixel information is incorporated into the proposed method. Also this study analyzes and compares the obtained results from the proposed Angle oriented face recognition with threshold based face detector to show the level of robustness using texture features in the proposed face detector. It was verified that a face recognition based on textual features can lead to an efficient and more reliable face detection method compared with KLT (Karhunen Loeve Transform), a threshold face detector.
关键词：Angle Oriented; Euclidian Distance; Face Recognition; Feature Extraction;Â Image texture features.