G R Sinha

Work place: Faculty of Engineering and Technology, Shri Shankaracharya Group of Institutions Bhilai, C.G., India

E-mail: drgrsinha@ieee.org


Research Interests: Medical Image Computing, Image Processing, Network Architecture, Image Manipulation, Image Compression, Pattern Recognition, Neural Networks


G.R.Sinha: Professor of Electronics & Telecommunication and Associate Director in Faculty of Engineering and Technology of Shri Shankaracharya Group of Institutions of Chhattisgarh Swami Vivekanand Technical University India. He obtained his B.E. (Electronics) and M.Tech. (Computer Technology) from National Institute of Technology, Raipur. He received Gold Medal for obtaining first position in the University.  He received his Ph.D. in Electronics & Telecommunication from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He is Dean of Faculty and Executive Council Member Chhattisgarh Swami Vivekanand Technical University, Bhilai. His research interest includes Digital Image Processing and it applications in biometric security, forensic science, multimodal biometrics etc. He has published 119 research papers in various international and national journals and conferences. He is active reviewer and editorial member of more than 12 international journals including IEEE Transactions on Image Processing. He is recipient of many awards like Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, nominated for ISCA Young Scientist Award 2006.  He has delivered many keynote speeches and chaired many technical sessions in international conferences in SINGAPORE, Mumbai and Nagpur & across the country. He is member of signal processing society of IEEE, IACSIT & SIE Singapore and also of many national professional bodies like IETE, ISTE, CSI, ISCA, and IEI.  He has authored five books including recently published in Wiley India on Biometrics: Concepts and Applications.

Author Articles
PCA based Multimodal Biometrics using Ear and Face Modalities

By Snehlata Barde A S Zadgaonkar G R Sinha

DOI: https://doi.org/10.5815/ijitcs.2014.05.06, Pub. Date: 8 Apr. 2014

Automatic person identification is an important task in computer vision and related applications. Multimodal biometrics involves more than two modalities. The proposed work is an implementation of person identification fusing face and ear biometric modalities. We have used PCA based neural network classifier for feature extraction from the images. These features are fused and used for identification. PCA method was found better if the modalities were combined. Identification was made using Eigen faces, Eigen ears and their features. These were tested over own created database.

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