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An Analysis of Some Pre-Processing Techniques useful in the Recognition of Offline Gujarati Handwritten Characters

Manish M. Kayasth*, 0**

* Assistant Professor and HOD, UCCC & SPBCBA & SDHG College of BCA and IT, Surat, India.

** Assistant Professor and I/c Principal, T. & M. T. College of Information Science, Surat, India.

Periodicity:December - February'2017
DOI : https://doi.org/10.26634/jit.6.1.13502

Abstract

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.

Keywords

Character Recognition, Gujarati Handwritten Characters, Filters, Image Smoothing, Boundary Tracing, Scaling

How to Cite this Article?

Manish M. Kayasth and Bharat C. Patel (2017). An Analysis of Some Pre-Processing Techniques useful in the Recognition of Offline Gujarati Handwritten Characters. i-manager’s Journal on Information Technology, 6(1), 1-7. https://doi.org/10.26634/jit.6.1.13502

References

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