SURVEY ON PERFORMANCE AND COLOR SPACES ANALYSIS FOR FACE DETECTION

Hammouda, khalid and M, Zulkiflee and Elzamly, Abdelrafe and Doheir, Mohamed (2022) SURVEY ON PERFORMANCE AND COLOR SPACES ANALYSIS FOR FACE DETECTION. Journal of Advanced Computing Technology and Application, 4 (2). pp. 43-63. ISSN 2672-7188

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Abstract

The color of a person's face is very important. There are numerous advantages of using complexion as a characteristic for monitoring a face. Color processing is much faster than other facial expressions. Many research works have been submitted to determine the best color model for face detection but there is no consensus on a suitable color model for color segmentation. The objective of this paper is to present a comparison between the different color spaces used in skin modeling and present the best color model for detecting faces using color segmentation. In this work, we examine a comprehensive review of published color spaces and then classify these color models and their advantages and limitations based on the influence of external factors affecting skin tone detection and face detection. The result shows RHB, YCbCr, and HVS were able to identify skin detection approaches that are utilized to recognize the face utilizing color spaces. In the future, this result will be used to help researchers develop and improve skin tone detection through color segmentation for face detection

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