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 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13502