Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.