A Survey on Handwritten Character Recognition |
Author(s): |
| Rakesh S , DR SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE; Shanmuga Priya N, DR SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE |
Keywords: |
| Handwritten Character Recognition, Features Extraction, Classifiers, Pre-Processing |
Abstract |
|
At current years Handwritten Character Recognition is main significant and admired research sector in the part of Image processing. In Handwritten edition there is no constraint on the writing style. Handwritten letters are not easy to recognize due to diverse human handwriting style, size and shape of letters. In a Handwritten character recognition, the set of geographies plays as foremost issues, as method in choosing the related feature that profits minimum classification fault. Handwriting recognition is most challenging area if image and pattern recognition. Handwriting recognition is very useful in real world. Text recognition in the handwritten documents has been studied as one of the projecting research areas by different researchers during the last few decades. |
Other Details |
|
Paper ID: IJSRDV5I80083 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 65-67 |
Article Preview |
|
|
|
|
