Image enhancement for face recognition using color segmentation and Edge detection algorithm
نویسنده
چکیده
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 colorcomponent 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.
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