Distortion corrections for better character recognition of camera-based document images

Details Distortion corrections for better character recognition of camera-based document images Distortion corrections for better character recognition of camera-based document images

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5578..389c&link_type=abstract

Photonics North 2004: Optical Components and Devices. Edited by Armitage, John C.; Fafard, Simon; Lessard, Roger A.; Lampropoul

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The usage of cellular camera phones and digital cameras is rapidly increasing, but camera imaging applications are not so much due to the lack of practical camera imaging technology. Especially the acquisition environments of camera images are very different from those of scanner images. Light illumination, viewing distance and viewing angles constantly varies when we take a picture in indoor and outdoor. These variations make it difficult to extract character areas from images through binarization and the variation of camera viewing angles makes the images distorted geometrically. In this paper, these problems are totally discussed and the resolving methods are suggested for a better image recognition. The solutions such as adaptive binarization, color conversion, correction of lens distortion and correction of geometrical distortion are discussed and the sequence of correction processes are suggested for accurate document image recognition. In experiment, we use the various types of document images captured by mobile phone cameras and digital cameras. The results of distortion correction show that our image processing methods are efficient to increase the accuracy of character recognition for camera based document image.

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