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Proceedings Paper

Comprehensive color segmentation system for noisy digitized documents to enhance text extraction
Author(s): Asma Ouji; Yann Leydier; Frank LeBourgeois
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Paper Abstract

This paper presents a novel, general purpose and multi-applications color segmentation system providing optimal chromatic and achromatic layers and filtering the hue and illumination distortions, with minimal information loss. A text extraction method based on the resulting segmentation is proposed to illustrate the usefulness of the method. The system is validated through the evaluation of a well-known commercial OCR line segmentation performances on the processed images.

Paper Details

Date Published: 23 January 2012
PDF: 8 pages
Proc. SPIE 8297, Document Recognition and Retrieval XIX, 829705 (23 January 2012); doi: 10.1117/12.912000
Show Author Affiliations
Asma Ouji, Institut National des Sciences Appliquées, CNRS, Univ. de Lyon (France)
Yann Leydier, Institut National des Sciences Appliquées, CNRS, Univ. de Lyon (France)
Frank LeBourgeois, Institut National des Sciences Appliquées, CNRS, Univ. de Lyon (France)


Published in SPIE Proceedings Vol. 8297:
Document Recognition and Retrieval XIX
Christian Viard-Gaudin; Richard Zanibbi, Editor(s)

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