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Preprocessing Steps for the Recognition of Handwritten Gujarati Characters


Affiliations
1 Shinghania University, Rajasthan, India
2 Saurashtra University, Gujarat, India
3 C.U. Shah College of Engineering Technology, Wadhwan, India
     

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Handwritten Documents are very important part of the day-to-day life. Documents are very important for the communication purpose. With the invention of the Digital Computers and machine learning algorithms the automatic reading of such handwritten documents using Computer has been addressed by many researchers. Such automated Systems enables computers to process handwritten documents faster and efficient. In order to implement a very good recognition system that gives higher recognition rates, we need various pre-processing steps to be applied to the handwritten documents. This paper presents various pre-processing steps to be applied to the offline scanned Gujarati Handwritten Characters.

Keywords

Gujarati Characters, Pre-Processing, Recognition.
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  • Preprocessing Steps for the Recognition of Handwritten Gujarati Characters

Abstract Views: 274  |  PDF Views: 3

Authors

Avani R. Vasant
Shinghania University, Rajasthan, India
Sandeep R. Vasant
Saurashtra University, Gujarat, India
G. R. Kulkarni
C.U. Shah College of Engineering Technology, Wadhwan, India

Abstract


Handwritten Documents are very important part of the day-to-day life. Documents are very important for the communication purpose. With the invention of the Digital Computers and machine learning algorithms the automatic reading of such handwritten documents using Computer has been addressed by many researchers. Such automated Systems enables computers to process handwritten documents faster and efficient. In order to implement a very good recognition system that gives higher recognition rates, we need various pre-processing steps to be applied to the handwritten documents. This paper presents various pre-processing steps to be applied to the offline scanned Gujarati Handwritten Characters.

Keywords


Gujarati Characters, Pre-Processing, Recognition.