Abstract
In this paper we have developed two novel techniques. Firstly to find out if the face image is fake using fake biometric detection. Secondly recognizing images corrupted with blurring effects. Recognizing faces using fake biometric detection is based on image quality assessment technique, IIITD Look Alike face database is considered to validate the proposed system. Recognizing faces under blurring effects is based on using score level fusion algorithm, ATT database is considered to validate the proposed system.
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Acknowledgments
The proposed work was made possible because of the grant provided by the vision group on science and technology (VGST), Department of Information Technology, Biotechnology and Science & Technology, Government of Karnataka, Grant No. VGST/SMYSR/GRD-402/2014-15 and the support provided by the Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India.
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Fernandes, S.L., Josemin Bala, G. (2016). Recognizing Faces in Corrupted Images. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_49
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DOI: https://doi.org/10.1007/978-81-322-2671-0_49
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