Recognition of Dynamic Character Using Neural Networks for Ancient Modi Language: Survey |
Author(s): |
| Adesh Kuthale , RMD Sinhgad School of Engineering, Pune.; Chetan Sathe, RMD Sinhgad School of Engineering, Pune, Maharashtra; Mrunal Idhate, RMD Sinhgad School of Engineering, Pune, Maharashtra; Shubham Goud, RMD Sinhgad School of Engineering, Pune, Maharashtra; Prof. Vina Lomte, RMD Sinhgad School of Engineering, Pune, Maharashtra |
Keywords: |
| Neural Network, MODI Script, Image Processing, Hand-Written Character Recognition |
Abstract |
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Last few decades, innumerable handwriting character recognition systems have been recommended by the experts. Many researches have presented the limitation that comes across for recognition handwriting character is cursive type and it has some deformation. The key challenge to recognition of character is high in Handwritten Domain, due to the different writing style of every individual. The study had been performed on foreign language like Arabic, Chinese, Japanese etc. and South Asian Languages such as Sanskrit, Hindi, Marathi, and Nepali etc. |
Other Details |
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Paper ID: IJSRDV6I100189 Published in: Volume : 6, Issue : 10 Publication Date: 01/01/2019 Page(s): 382-385 |
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