The Supercomputer Education and Research Centre (SERC) at IISc offers a singular tutorial setting to pursue advanced analysis in areas that fall under 2 streams: Computational Science and Computer Systems.
Computational Science deals with process ways and their application to scientific domains, whereas computer Systems explores the look, implementation and analysis of element and code systems. Ph.D., M.Sc. and M.Tech. degree programs area unit offered at SERC.
The centre additionally provides the progressive super computing facilities and leads many national initiatives on superior computing. The centre is actively concerned in sponsored analysis comes and practice unitedly with government agencies and personal firms.
A process of pair of retina recognition system using feature fusion method has been proposed in this paper. Left and right retinal images of human have been used for the inputs of this retinal recognition system. Wavelet based retinal image pre-processing technique has been applied to process the retina images. After extracting the features from the left and right retinal images, features are concatenated using feature fusion technique. Principal Component Analysis based dimensional reduction technique has been applied to reduce the dimension of the combined feature vector. Finally, Hop field neural network algorithm has been used for classification. DRIVE retinal database has been used for the performance measurements of the proposed pair of retina recognition system.