Nonlinear filtering for character recognition in low quality document images

Julia Diaz-Escobar; Vitaly Kober

doi:10.1117/12.2060148

23 September 2014 Nonlinear filtering for character recognition in low quality document images

Julia Diaz-Escobar, Vitaly Kober

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 921706 (2014) https://doi.org/10.1117/12.2060148
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

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.

Citation Download Citation

Julia Diaz-Escobar and Vitaly Kober "Nonlinear filtering for character recognition in low quality document images", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921706 (23 September 2014); https://doi.org/10.1117/12.2060148

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