2002 | OriginalPaper | Buchkapitel
An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents
verfasst von : Stefano Vezzosi, Luigi Bedini, Anna Tonazzini
Erschienen in: Document Analysis Systems V
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper describes an integrated system for processing and analyzing highly degraded ancient printed documents. For each page, the system reduces noise by wavelet-based filtering, extracts and segments the text lines into characters by a fast adaptive thresholding, and performs OCR by a feed-forward back-propagation multilayer neural network. The probability recognition is used as a discriminant parameter for determining the automatic activation of a feed-back process, leading back to a block for refining segmentation. This block acts only on the small portions of the text where the recognition was not trustable, and makes use of blind deconvolution and MRF-based segmentation techniques. The experimental results highlight the good performance of the whole system in the analysis of even strongly degraded texts.