Artificial Neural Network For Recognition Of HandwrittenDevanagari Character
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Information gathering is one of the most important thing in the digital world, manyorganizationsstill use handwritten documents for storing their information. So it is important task to convert this informationin to digital world. Handwritten character recognition helps user to convert their handwritten documents in todigital information. Purpose of this dissertation work is to implement zone based feature extraction methodwhich is combination of image centroid zone and zone centroid zone of individual character image. In featureextraction using zone based approach, individual character image is divided into n equal size zones thenaverage distance of all pixels with respect to image centroid or zone centroid is computed. In combination ofimage centroid and zone centroid approach it computes average distance of all pixels present in each zone withrespect to image centroid as well as zone centroid which gives feature vector of size 2Xn features. This featurevector is presented to feed forward neural network for recognition.
Authors and Affiliations
Ms. Seema A. Dongare , Prof. Dhananjay B. Kshirsagar , Mr. Nitin J. Khapale , Ms. Amruta D. Pawar
Keywords
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