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Proceedings Paper

Nonlinear filtering for character recognition in low quality document images
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Paper Abstract

Optical character recognition in scanned printed documents is a well-studied task, where the captured conditions like sheet position, illumination, contrast and resolution are controlled. Nowadays, it is more practical to use mobile devices for document capture than a scanner. So as a consequence, the quality of document images is often poor owing to presence of geometric distortions, nonhomogeneous illumination, low resolution, etc. In this work we propose to use multiple adaptive nonlinear composite filters for detection and classification of characters. Computer simulation results obtained with the proposed system are presented and discussed.

Paper Details

Date Published: 23 September 2014
PDF: 8 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921706 (23 September 2014); doi: 10.1117/12.2060148
Show Author Affiliations
Julia Diaz-Escobar, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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