Paper
23 January 2012 Comprehensive color segmentation system for noisy digitized documents to enhance text extraction
Asma Ouji, Yann Leydier, Frank LeBourgeois
Author Affiliations +
Proceedings Volume 8297, Document Recognition and Retrieval XIX; 829705 (2012) https://doi.org/10.1117/12.912000
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Asma Ouji, Yann Leydier, and Frank LeBourgeois "Comprehensive color segmentation system for noisy digitized documents to enhance text extraction", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 829705 (23 January 2012); https://doi.org/10.1117/12.912000
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KEYWORDS
Colorimetry

Image segmentation

Optical character recognition

Image processing

Image compression

Quantization

Optical filters

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