Handwritten Script Recognition |
Author(s): |
| Sangita Panmand , Padmabhushan Vasantdada Patil Pratishthan's College of Engineering (Mumbai University); Dhanashree Shinde, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering (Mumbai University); Kirti Khair, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering (Mumbai University); Yugandhara Thumbre, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering (Mumbai University) |
Keywords: |
| OCR, Handwriting Recognition, Kohonen Neural Network, artificial neural network. |
Abstract |
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OCR is abbreviated as Optical Character Recognition. Optical Character recognition is a process of recognition of different characters (printed or handwritten) from a digital image of documents. In OCR technique, characters can be recognized through optical mechanism. Various combinations of lines & curves make the characters. Characters recognition ability of human beings is very high. They can recognize all characters accurately. But same task is very difficult by OCR system. The wide usage of touch-screen based mobile devices has led to a large volume of the users preferring touch-based interaction with the machine, as opposed to traditional input via keyboards/mice. To exploit this, we focus on the Android platform to design a personalized handwriting recognition system that is acceptably fast, light-weight, possessing a user-friendly interface with minimally-intrusive correction and auto-personalization mechanisms. |
Other Details |
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Paper ID: IJSRDV1I8035 Published in: Volume : 1, Issue : 8 Publication Date: 01/11/2013 Page(s): 1670-1674 |
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