Vitthal Suryakant Phad

Work place: Parikrama College of Engineering, Kashti, affiliated to University of Pune, India



Research Interests: Artificial Intelligence, Network Security, Image Processing


Phad Vitthal Suryakant received the Bachelor degree in Information Technology and Master degree in Computer Science and engineering from Swami Ramanand Teerth Marathwada University, Nanded, M.S.,India in 2006 and 2011 respectively. In June 2007 he started his career as Lecturer at the Department of Computer Engineering, Pravara Rural college Engineering Loni, M.S., India up to June 2012. Currently he is working as Assistant Professor in Computer Engineering department of HSBPVT's GOI COE KASHTI, affiliated to University of Pune, M.S., India.
His research areas lie in the area of Network Security, Digital Image Processing and Artificial Intelligence.

Author Articles
A Face Recognition System by Embedded Hidden Markov Model and Discriminating Set Approach

By Vitthal Suryakant Phad Prakash S. Nalwade Prashant M. Suryavanshi

DOI:, Pub. Date: 8 Jul. 2014

Different approaches have been proposed over the last few years for improving holistic methods for face recognition. Some of them include color processing, different face representations and image processing techniques to increase robustness against illumination changes. There has been also some research about the combination of different recognition methods, both at the feature and score levels. Embedded hidden Markov model (E-HHM) has been widely used in pattern recognition. The performance of Face recognition by E-HMM heavily depends on the choice of model parameters. In this paper, we propose a discriminating set of multi E-HMMs based face recognition algorithm. Experimental results illustrate that compared with the conventional HMM based face recognition algorithm the proposed method obtain better recognition accuracies and higher generalization ability.

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