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Abstract
Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. After detection of face in a picture, it can be compared with the ones present in the database. This paper describes a hybrid approach that uses the fusion of individual techniques used for detection as well as for recognition of human faces.
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How to Cite
Nitin K. Pundir, R. S. S. S. (2014). Different Facial Expression Recognition And Face Detection Technique. International Journal of Emerging Trends in Science and Technology, 1(03). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/80
References
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[3] M.A. Turk and A.P. Pentland, “Face Recognition Using Eigenfacesâ€, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591, 1991.
[4]] Wang Zhanjie, Tong Li, “A Face Detection System Based Skin Color and Neural Networkâ€, International Conference on Computer Science and Software Engineering, 2008.
[5] Monika Verma, Pooja Rani, Harish Kundra, “A Hybrid Approach to Human Face Detectionâ€,international Journal of Computer Applications (0975 – 8887) Volume 1 – No. 13,2010.
[2] Douglas Chai and King N. Ngan, Face Segmentation Using Skin-Color Map in Videophone Applications. IEEE Transactions On Circuits And Systems For Video Technology, VOL. 9, NO. 4, June 1999.
[3] M.A. Turk and A.P. Pentland, “Face Recognition Using Eigenfacesâ€, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591, 1991.
[4]] Wang Zhanjie, Tong Li, “A Face Detection System Based Skin Color and Neural Networkâ€, International Conference on Computer Science and Software Engineering, 2008.
[5] Monika Verma, Pooja Rani, Harish Kundra, “A Hybrid Approach to Human Face Detectionâ€,international Journal of Computer Applications (0975 – 8887) Volume 1 – No. 13,2010.