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http://dx.doi.org/10.9708/jksci.2011.16.7.117

A Study on the YCbCr Color Model and the Rough Set for a Robust Face Detection Algorithm  

Byun, Oh-Sung (R&D Center, HYUNDAI MOBIS)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.7, 2011 , pp. 117-125 More about this Journal
Abstract
In this paper, it was segmented the face color distribution using YCbCr color model, which is one of the feature-based methods, and preprocessing stage was to be insensitive to the sensitivity for light which is one of the disadvantages for the feature-based methods by the quantization. In addition, it has raised the accuracy of image synthesis with characteristics which is selected the object of the most same image as the shape of pattern using rough set. In this paper, the detection rates of the proposed face detection algorithm was confirmed to be better about 2~3% than the conventional algorithms regardless of the size and direction on the various faces by simulation.
Keywords
Biometric Security; Rough Set; Image Segmentation; Image Synthesis;
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Times Cited By KSCI : 5  (Citation Analysis)
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