Prakash S. Nalwade

Work place: Shri Guru Gobind Singhji Institute of Engineering &Technology, Nanded, M.S. India



Research Interests: Artificial Intelligence, Information Security, Network Security, Data Mining, Data Structures and Algorithms, Information-Theoretic Security


Nalwade Prakash S. received Bachelor degree in Computer Science and engineering and Master degree in Electronics Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad M.S. India in 1990 and 1995 respectively. Currently he is working as Associate Professor and Head in Computer Science and Engineering department of Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded M.S. ,India ,which is an autonomous institute of Government of Maharashtra.
His research areas lie in the area of Information security, Artificial Intelligence, Data Mining and Mobile Computing.

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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