Face recognition system using skin detection in RGB and YCbCr color space

In this paper, we present a face recognition system using skin segmentation as feature reduction. Human Skin detection reduces the face region research in the image. In addition, color skin is a robust information face to rotation; scale and illumination variation. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. The proposed RGB-YCbCr skin color model for skin region segmentation was evaluated on a set of three databases. The set was choice in a controlled and uncontrolled environment. Two classifiers are studied to build our face recognition system; the K nearest neighbor applied for each channel of the segmented image, whereas the second used the Principal component analysis PCA as reduction method followed by knn classifier. Best recognition rate were obtained for the first classifier.

[1]  N. A. Abdul Rahim,et al.  RGB-H-CbCr skin colour model for human face detection , 2006 .

[2]  Sam Houston.  Department of Computer Science , 2010 .

[3]  Ramandeep Kaur,et al.  Face recognition using Principal Component Analysis , 2015, 2015 IEEE International Advance Computing Conference (IACC).

[4]  Adnan Acan,et al.  FACE RECOGNITION USING PCA, LDA AND ICA APPROACHES ON COLORED IMAGES , 2003 .

[5]  Haruki Ueno.  Face and Gesture Recognition for Human-Robot Interaction , 2007 .

[6]  Richa Singh,et al.  A Robust Skin Color Based Face Detection Algorithm , 2003 .

[7]  P. Peer,et al.  Human skin color clustering for face detection , 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

[8]  Vladimir Vezhnevets,et al.  A Survey on Pixel-Based Skin Color Detection Techniques , 2003 .

[9]  King Ngi Ngan,et al.  Face segmentation using skin-color map in videophone applications , 1999, IEEE Trans. Circuits Syst. Video Technol..

[10]  Chen Xiuting.  Design of Face Recognition System Based on PCA and LDA , 2012 .

[11]  Ying Weng,et al.  Face detection based on skin color in image by neural networks , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[12]  Mislav Grgic,et al.  Independent comparative study of PCA, ICA, and LDA on the FERET data set , 2005, Int. J. Imaging Syst. Technol..

[13]  Han Wang,et al.  Feature selection in frequency domain and its application to face recognition , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[14]  Ajit Danti,et al.  Modelling Uncertainty in Representation of Facial Features for Face Recognition , 2007 .

[15]  Qiong Liu,et al.  A robust skin color based face detection algorithm , 2010, 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010).

[16]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[17]  Vijayan K. Asari,et al.  Real time face detection from color video stream based on PCA method , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..

[18]  Lawrence Sirovich,et al.  Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..