A COMPARATIVE ANALYSIS OF LINE AND WORD SEGMENTATION FOR HANDWRITTEN DOCUMENT IMAGE

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Neerugatti Varipally Vishwanath
Murugan R
D.HariSai Ram
T.Leela Sai
Shashank Nanda Kumar

Abstract

Segmentation of handwritten image is the challenging task in Optical Character Recognition. Due to the improper segmentation of this task, many of the methods produce poor recognition rate. Text characteristics can vary in size, font, alignment, color, orientation, and contrast and background information. These characteristics variations turn the process of word detection complex and difficult. Since handwritten text can vary greatly depending on the user skills, disposition and cultural background. The segmentation should be possible based on zooming, a line portion of content, and a word section from line and character fragment from word. This should be possible by the utilization of level, vertical technique. This paper surveys numerous essential and propelled division strategies of written by hand archive pictures.

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