FPGA Implementation of Face Detection using Skin Segmentation and AdaBoost Algorithm

International Journal of Computer Trends and Technology (IJCTT)          
© - July Issue 2013 by IJCTT Journal
Volume-4 Issue-7                           
Year of Publication : 2013
Authors :Vinay P


Vinay P"FPGA Implementation of Face Detection using Skin Segmentation and AdaBoost Algorithm"International Journal of Computer Trends and Technology (IJCTT),V4(7):2175-2177 July Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: - The following paper proposes an improved face detection engine which uses skin colour information. As the skin colour is a fundamental feature of human faces, skin colour detection can be performed on the input image to reduce the computational complexity[4]. If skin colour is not detected, then there are no chances of a face in the image. Thus relaxing any further processing. This design proposal will form a powerful and efficient face detection for mobile devices which can work in real time. This implementation works for different skin colours or tones. Following skin detection, the face is detected using adaboost algorithm. This becomes an accurate technique to avoid being cheated by fake faces., or even other face like objects. The hardware architecture for real-time processing will be implanted on a FPGA. FPGA makes an ideal use, because it provides good performance with low power dissipation at marginally low cost. All of which is essential for a power constraint mobile units.


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Keywords : — Adaboost, Skin Segmentation, Haar features, Weak Classifier, Strong Classifier.