Offline Handwritten Character Recognition Techniques: A Survey |
Author(s): |
| Mrs.Sapana Shailesh Dhere , PVPIT, Budhgaon, Sangali; Prof. K. K. Pandyaji, PVPIT, Budhgaon, Sangali |
Keywords: |
| Hand Printed Character Recognition, Statistical, Geometrical and Topological Features, SOM Based Classifier |
Abstract |
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Handwriting character recognition has been one of the most interesting and challenging research areas in field of image processing and pattern recognition in the recent years. The Biggest challenge in the field of image processing is to recognize documents both in printed and handwritten format. Recognition of handwritten character is a problem since there is a variation in same character due to different types of noises or font size or font shape. An effective segmentation and Feature extraction as well as training and classification techniques are discussed in this paper. Also, highlighted on most important results reported and tried to achieve the beneficial techniques of research till date. |
Other Details |
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Paper ID: IJSRDV13I80035 Published in: Volume : 13, Issue : 8 Publication Date: 01/11/2025 Page(s): 41-45 |
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