NDLI: Page layout analyser for multilingual Indian documents

Content Provider	IEEE Xplore Digital Library
Author	Chaudhuri, A.R. Mandal, A.K. Chaudhuri, B.B.
Copyright Year	2002
Description	Author affiliation: Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Kolkata, India (Chaudhuri, A.R.)
Abstract	An advanced Optical Character Recognition (OCR) system is equipped with the module of the page layout analyser. It separates textual zones from non-textual zones. It identifies textual blocks from multicolumn documents and groups them into homogenous regions in terms of geometric shape and spatial distribution. All existing OCR modules developed for various Indian scripts can handle text only single-column documents. In this paper, a page, layout analyser that uses typical common features present in most of the Indian scripts is introduced. A simple compatibility criterion that allows various degrees of homogeneity is defined. The page-analyser is robust in the sense that it can distinguish text regions from non-textual entities such as images, rulers, and noisy signals due to smudges and poor quality of the paper. Test results are shown in two most popular Indian Scripts, Devnagari (Hindi) and Bangla.
Starting Page	24
Ending Page	32
File Size	1215878
Page Count	9
File Format	PDF
ISBN	0769518850
DOI	10.1109/LEC.2002.1182287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Geometrical optics Robustness Optical character recognition software Optical sensors Character recognition Testing
Content Type	Text
Resource Type	Article

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