JIT_V6_N1_RP1
An Analysis of Some Pre-Processing Techniques useful in the Recognition of Offline Gujarati Handwritten Characters
Manish M. Kayasth
Bharat C. Patel
Journal on Information Technology
2277-5250
6
1
1
7
Character Recognition, Gujarati Handwritten Characters, Filters, Image Smoothing, Boundary Tracing, Scaling
Character Recognition wherein a computer is able to interpret human handwriting and recognize it as an alphanumeric character. The input provided to the recognition system is an image of a digit, a word, or generally combinations of such texts. The system accordingly generates an output as an ASCII transcription of the inputted text. This task involves a number of pre-processing steps. This paper analyses and mainly focuses on few pre-processing approaches to recognize handwritten Gujarati characters. The whole character recognition process is logically divided into separate parts like Image acquisition, Preprocessing, Processing, and Post-processing. In the targeted system which will be used to recognize character; the scanned image is first passed through pre-processing modules like Image Acquisition, Smoothing, Boundary tracing, etc., in order to achieve a higher recognition rate.
December 2016 – February 2017
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