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A Geometric Feature Extraction Technique for Hindi Handwritten Character Recognition


Author(s):

Neha Assiwal , GANGA INSTITUTE OF TECHNOLOGY AND MANAGEMENT; Dr. Neetu Sharma, GANGA INSTITUTE OF TECHNOLOGY AND MANAGEMENT

Keywords:

Geometry, Character skeleton, Universe of Discourse, Zoning, Feature Extraction

Abstract:

This paper explains a recognition technique for recognition a character. This paper involves geometry technique for feature extraction which extracts the character separately. It is a segmentation-based character recognition system. The system is based on offline handwritten character recognition. In this system, it recognizes Indian languages characters. The features used in this system are based on the basic line types that form the character skeleton. The system output is formed from feature vector. The feature vectors is generated from a training set, were then used to train a pattern recognition engine. The pattern recognition engine based on Neural Networks so that the system can be benchmarked.


Other Details:

Manuscript Id :IJSTEV2I12144
Published in :Volume : 2, Issue : 12
Publication Date: 01/07/2016
Page(s): 295-302
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