期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2013
卷号：3
期号：3
页码：187-193
出版社：Technopark Publications
摘要：Nowadays Image Processing and Image Enhancement play a vital role in many of numerous applications. This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. A facial recognition system is a method of automatically identifying or verifying a person from a digital image or a video frame from a video source. The proposed boosting color-component feature selection framework is designed for finding the best set of color component features from various color spaces (or models), aiming to achieve the best FR performance for a given FR task. Most of the existing color FR methods are restricted to using a fixed color-component configuration comprising of only "two" or "three" color components [5]. This paper addresses and fixes the existing problem and proposes a method by using color segmentation algorithm and edge detection algorithm
