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Using The Characteristics of Image Color in Eye Regions For Eye Detection | ||
| basrah journal of science | ||
| Article 1, Volume 31, Issue 1, 2013, Pages 121-126 PDF (0 K) | ||
| Author | ||
| Baidaa Abdulkader Khuder | ||
| Abstract | ||
| A Biometric system provides perfect identification of individual based on a unique biological feature or characteristic possessed by a person such as finger print, hand writing, heartbeat, face recognition and eye detection. Among them eye detection is a better approach since Human Eye does not change throughout the life of an individual. It is regarded as the most reliable and accurate biometric identification system available. This paper presents an algorithm to extract eyes from an image containing a human face using a skin color model. The face region is extracted from the image using YCbCr color space. Then construct a ghost image depending on the characteristics of eye region in color space that have high Cb and low Cr to detect eyes area. The algorithm is applied on frontal facial and 30º view images. The results demonstrated successful detection. | ||
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