Margin noise removal from printed document images

Authors:
Soumyadeep Dey;Jayanta Mukhopadhyay;Shamik Sural;Partha Bhowmick
Affiliations:
Indian Institute Of Technology, Kharagpur;Indian Institute Of Technology, Kharagpur;Indian Institute Of Technology, Kharagpur;Indian Institute Of Technology, Kharagpur
Venue:
Proceeding of the workshop on Document Analysis and Recognition
Year:
2012

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Abstract

In this paper, we propose a technique for removing margin noise (both textual and non-textual noise) from scanned document images. We perform layout analysis to detect words, lines, and paragraphs in the document image. These detected elements are classified into text and non-text components on the basis of their characteristics (size, position, etc.). The geometric properties of the text blocks are sought to detect and remove the margin noise. We evaluate our algorithm on several scanned pages of Bengali literature books.