Inversion detection in text document images

DOI

10.2991/jcis.2006.82How to use a DOI?

Keywords

OCR; document processing; Inversion detection

Abstract

OCR makes it possible for the user to edit or search the document’s contents. In this paper we describe a special water fill technique for detecting the upside down text document. Each character has a upside and downside filling capacities. A character may have two sides or one side filling capacity or zero filling capacity. The total upside and downside capacities for the scanned page calculated and the page with bigger downside capacity decided to be upright. The merit of the algorithm is that it requires only simple arithmetic operations per image pixel. Our experimental results, based on detecting inversion for 100 documents demonstrate a high detection performance of more than 98%, indicating the validity of the proposed methods.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hamid Pilevar
AU  - Ramakrishnan
PY  - 2006/10
DA  - 2006/10
TI  - Inversion detection in text document images
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.82
DO  - 10.2991/jcis.2006.82
ID  - Pilevar2006/10
ER  -