Recognition of degraded characters using dynamic Bayesian networks
Pattern Recognition
Local Orientation Extraction for Wordspotting in Syriac Manuscripts
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Optical character recognition of Gurmukhi script using multiple classifiers
Proceedings of the International Workshop on Multilingual OCR
A novel ring radius transform for video character reconstruction
Pattern Recognition
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In this article, we are interested in the restoration of character shapes in antique document images. This particular class of documents generally present a lot of involuntary historical information that have to be taken into account to get quality digital libraries. Actually, many document processing methods of all sorts have already been proposed to cope with degraded character images, but those techniques often consist in replacing the degraded shapes by a corresponding prototype which is not satisfying for lots of specialists. For that, we decided to develop our own method for accurate character restoration, basing our study on generic image processing tools (namely: Gabor filtering and the active contours model) completed with some specific automatically extracted structural information. The principle of our method is to make an active contour recover the lost information using an external energy term based on the use of an automatically built and selected reference character image. Results are presented for real case examples taken from printed and handwritten documents.