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by luminance. And thus converted an [R, G, B] vector is converted into an [r, g] vector of normalized color which provides a fast means of skin detection. This gives the skin color region which localizes face. As in [19], the output is a face detected image which is from the skin region. This algorithm fails when there are some more skin region like legs, arms, etc.

 

2) Skin color based face detection in YCbCr color space

Studies have found that pixels belonging to skin region exhibit similar Cb and Cr values. Furthermore, it has been shown that skin color model based on the Cb and Cr values can provide good coverage of different human races. The thresholds be chosen as [Cr1, Cr2] and [Cb1, Cb2], a pixel is classified to have skin tone if the values [Cr, Cb] fall within the thresholds[1]. The skin color distribution gives the face portion in the color image. This algorithm is also having the constraint that the image should be having only face as the skin region.

 

3) Skin color based face detection in HSI color space

Kjeldson and Kender defined a color predicate in HSV color space to separate skin regions from background [21]. Skin color classification in HSI color space is the same as YCbCr color space but here the responsible values are hue (H) and saturation (S). Similar to above the threshold be chosen as [H1, S1] and [H2, S2], and a pixel is classified to have skin tone if the values [H,S] fall within the threshold and this distribution gives the localized face image.[1] Similar to above two algorithm this algorithm is also having the same constraint.

 

IV RESULT

 

In this section a detailed comparison of the above stated algorithms has been presented.

 

1) Results of Skin Color Based Face Detection in RGB Color Space.Results of this experiment show that RGB color space is not very much friendly with face detection based on skin color classification. Following table shows that the false detection rate and dismissal rate are very high, thus causing very low accuracy in detecting the face. In Figure 4, the colored part shows the skin color detection in an image. Representing image as a web and the colored part is represented as skin region. In RGB color space it is found that it represents some non-skin region also as the skin region and hence false detection rate is quite high[1].

 

2) Results of Skin Color Based Face Detection in YCbCr Color Space.Similar experiments have been performed on the YCbCr color space as on RGB. The accuracy is found higher than results from RGB co本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。