Journal Press India^®

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Face detection is a necessary first-step in face recognition systems, with the reason of localize and extract the face region from the background. It also has a number of applications in areas such as content-based image recovery, video coding, video conferencing, crowd observation, and intelligent human–computer interfaces. We have taken skin color as a tool for detection. This technique works well for all types’ faces which have a specific complexion varying under definite range. We have taken real life examples and simulated the algorithms in MATLAB successfully. This paper concentrates on the input images are converted to the YCbCr model to collect the value Y,Cb,Cr. and check whether these values are satisfied with the threshold values. If the pixels are in the range of threshold then that pixels will be considered as skin region otherwise it is a non skin region. This paper defined algorithm has been tested on various real time frontal images and gets better results for the YCbCr color model.

Keywords

Color Space Model; Face Detection; Feature Based; Color Space Model; YCbCr Method

1. S. A. Inalou, S. Kasaei, AdaBoost-based Face Detection in Color Images with Low False Alarm, Second International Conference on Computer Modeling and Simulation, 2010


2. Xinyu Wang, Huosheng Xu, Heng Wang, Heng Li, Robust Real-time Face Detection with Skin Colour detector and the Modified Census Transform, IEEE International Conference on Information and Automation, 2008


3. H. Rahman, J. Afrin, Human Face Detection in Color Images with Complex Background using Triangular Approach, Global Journal of Computer Science and Technology Graphics & Vision, 2013


4. D. Peng, P. Mingtao, Multi-view Face Detection Based on AdaBoost and Skin Color, First International Conference on Intelligent Networks and Intelligent Systems


5. S. S. Sugania, K. John Peter, Feature Extraction for Face Recognition by Using A Novel and Effective Color Boosting, International Journal of Engineering and Advanced Technology (BEAT), 1(4), 2012


6. E. Hjelms, B. K. Low, Face Detection Survey, Computer Vision and Image


7. Understanding 83, 236-274, 2001


8. S. Sergyan, A New Approach of Face Detection-based Classification of Image Databases, Act a Polytechnica Hungarica, 6(1), 2009


9. G. Rakesh V, T S. Reddy, YCBCR Color Image Edge Detection, International Journal of Engineering Research and Applications (IJERA), 2(2), 2012


10. Tarek M. Mahmoud et. al, A New Fast Skin Colour Detection Technique, in World Academy of Science, Engineering and Technology, 2008, 43