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

Volume 6 Issue 1 December - February 2017

Research Paper

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

Manish M. Kayasth*, Bharat C. Patel**

* 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.

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

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.