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Robust NN based classifiers for Handwritten Recognition of Alpha Numerals


Vineet R Kumar , M.Tech, Computer Science & Engg. DIET, Karnal Affiliated to Kurukshetra University; Dr. Arzoo Dahiya, Assistant Professor, Department Of Computer Science and Engineering , DIET Karnal


OCR, Numeral Recognition, Supervised learning, Handwritten Recognition


Developing intelligent machines for recognizing a character is certainly not an easy task simply because a character could be printed in many possible methods. Also you will find so imperfections that are many variation of handwriting such as for example alignment, noise and angles, which will make handwritten character recognition tough to implement with a device. All these imperfections of handwritten characters may not be removed easily. This means that a single process or single machine just isn't capable of performing the method that is entire. You can accomplish it by a few processes that return some result that is desirable. This paper is about the related work for Handwritten Numeral Recognition and its Approaches.

Other Details

Paper ID: IJSRDV3I60499
Published in: Volume : 3, Issue : 6
Publication Date: 01/09/2015
Page(s): 1252-1260

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