NDLI: A fast skew detection and correction algorithm for machine printed words in Gurmukhi script

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A fast skew detection and correction algorithm for machine printed words in Gurmukhi script

Content Provider	ACM Digital Library
Author	Sharma, Dharam Veer Lehal, Gurpreet Singh
Abstract	During scanning of documents the image may get skewed because of improper alignment of paper on the scanner, which results in wrong alignment of text on the document image. In some cases the image may even have double skew both at the page level and at word level due to curl near the binding of the book or in old typed/printed documents. Therefore skew detection and correction becomes an indispensable pre-processing task before the recognition of the text. In this paper we have proposed a robust technique for skew detection and correction of isolated words of machine printed Gurmukhi documents. The method presented here relies on the structural properties of words in Indic Script. The algorithm first identifies skewed word and then corrects the skewed words only. According to the proposed technique, isolated words having straight headline are not considered skewed but when length of headline is less than a threshold value then the word may be skewed and becomes target for correction. The algorithm can be equally effective for machine printed documents of those scripts where headline is used to connect characters of a word.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781605586984
DOI	10.1145/1577802.1577819
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Skew correction Skew detection Gurmukhi script Machine printed
Content Type	Text
Resource Type	Article

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