24 January 2012 Comprehensive color segmentation system for noisy digitized documents to enhance text extraction
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Proceedings Volume 8297, Document Recognition and Retrieval XIX; 829705 (2012); doi: 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.
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Asma Ouji, Yann Leydier, Frank LeBourgeois, "Comprehensive color segmentation system for noisy digitized documents to enhance text extraction", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 829705 (24 January 2012); doi: 10.1117/12.912000; 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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