Published In : IJCSN Journal Volume 5, Issue 2

Date of Publication : April 2016

Pages : --

Figures :07

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Publication Link : Recognition of Real or Picture Face Using Skin Colour Detection and Depth Map Information

 

 

 

Chanchal Mahadev Patil : Department of Electronics Engineering, P. V. P. Institute of Technology, Budhgaon (Sangli),Maharashtra, India.

K. P. Paradeshi : Department of Electronics Engineering, P. V. P. Institute of Technology, Budhgaon (Sangli),Maharashtra, India.

 

 

 

 

 

 

 

Real Face, Picture face, Skin colour detection, Haarfeatures, Depth map, Adaboost algorithm

The problem of automatic face recognition is complex task that involves recognition of human facesin cluttered background. The goal of face recognition isto provide high accuracy and security for biometricsauthentication. Face recognition techniques includesdetection of face, match it with database and giveaccurate recognition. Now days, biometricsauthentication is used for various purpose. So because ofthat only one method of detection or recognition is notuseful. So, we use combinationof method for detectionand recognition. This technique achieves goodperformance by combining different algorithms fordetection and recognition of real and fake (picture) face.This algorithm is fast and simple for implement andgives higher accuracy and security. In the future research, we are planning to integrate the proposed face recognition approach with a hardware support.

 

 

 

 

 

 

 

 

 

1. S. Kherchaoui and A. Houacine, “Face Detection Based On A Model Of The Skin Colour With Constraints And Template Matching”, 2010 International Conference on Machine and Web Intelligence (ICMWI), 2010 IEEE, Page(s): 469-472. 2. JunfengQian, Shiwei Ma, ZhonghuaHao, YujieShen , ”Face Detection and Recognition Method Based On Skin Colour and Depth information”, 2011 International Conference on Consumer Electronics Communication and Networks (CECNet) , 2011 IEEE, Page(s): 345-348. 3. Shou-Jen Lin, Chao-Yang Lee, Mei-Hsuan Chao, Chi-SenChiou, Chu-Sing Yang, “The Study and Implementation of Real-Time Face Recognition and Tracking System”, Proceedings of the Ninth International Conference on Machine Learning and Cybernetics (ICMLC), Qingdao, 11-14 July 2010, 2010 IEEE, Page(s): 3050-3055. 4. Dan Xu, Yen-Lun Chen, Xinyu Wu, YongshengOu and YangshengXu, “Integrated Approach of Skin-colour Detection and Depth Information for Hand and Face Localization”, Proceedings of the 2011 IEEE International Conference on Robotics and Biometrics (ROBIO) December 7-11, 2011 IEEE, Page(s): 952-956. 5. C. E. Erdem, S. Ulukaya. A. Karaali, A. T. Erdem, “Combining Haar Feature and Skin Colour Based Classifiers For Face Detection”, 2011 International conference on Acoustic, Speech and Signal Processing (ICASSP), 2011 IEEE, Page(s): 1497-1500. 6. AlaaSagheer and SalehAly, “An Effective Face Detection Algorithm based on Skin Colour Information”, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS), IEEE 2012, Page(s): 90-96. 7. ErolSeke, “Determining Illumination Sources in Frontal Face Images using Salient Samples from a Face Depth Map”, 2011 International Symposium on Innovation in Intelligent System and Application (INISTA), 2011 IEEE, Page(s): 173-176. 8. Gang Pan, Shi Han, Zhaohui Wu and Yueming Wang, “3D Face Recognition using Mapped Depth Images”, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 2005 IEEE, Page(s): 175-181. 9. RenMeng , Zhang Shengbing , Lei Yi , Zhang Meng, “ CUDA-based Real-time Face Recognition System”, 2014 Fourth International Conference on Digital Information and Communication Technology and It’s Application (DICTAP), 2014 IEEE, Page(s): 237-241. 10. Xiaoping Li and Yinxing Li, “Study and Realization Of Face Detection Based on Skin Segmentation and Template Matching”, 2010 Fourth International Conference On New Trends In Information Science and Service Science (NISS), 2010 IEEE, Page(s): 375-378. 11. Swapnil V Tathe and Sandipan P Narote, “Face detection using colour models”, Proceedings of "Conference on Advances in Communication and Computing (NCACC'12)”, World Journal of Science and Technology 2012, ISSN: 2231 – 2587, Page(s): 182-185. 12. Ankita Jain, Krishnan Kutty and Suresh Yerva, “GMM Based Approach for Human Face Verification using Relative Depth Features”, 2013 International Conference On Advances In Computing Communicating and Informatics (ICACCI), 2013 IEEE, Page(s): 675-680. 13. Paul Viola and Michael Jones,“Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade”, Mistubishi Electric Research Lab Cambridge, MAviola@merl.comand mjones@merl.com 14. BarisBaykat ALAGOZ “Obtaining Depth Maps From Color Images By Region Based Stereo Matching Algorithms”, OncuBilim Algorithm And Systems Labs. Vol.08, Art.No:04,(2008)