Rule-based face detection in color images using normalized RGB color space — A comparative study

Detecting human faces in color images plays an important role in real life application such as face recognition, human computer interface, video surveillance and face image database management. This paper provides a comparative study on some of the human skin segmentation techniques. The linear piecewise decision boundary strategy is used for human skin detection techniques with the help of normalized RGB color space. Both adaptive and nonadaptive skin color models are used for skin detection. The rule based technique using the normalized RGB is used to detect facial features like lips and eye. This technique is very effective in detecting facial features. The experimental results show that nonadaptive skin color models produces better results as compared to the adaptive skin color models.

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