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Published in:
2007 | OriginalPaper | Chapter
Correction of Medical Handwriting OCR Based on Semantic Similarity
Authors : Bartosz Broda, Maciej Piasecki
Published in: Intelligent Data Engineering and Automated Learning - IDEAL 2007
Publisher: Springer Berlin Heidelberg
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In the paper a method of the correction of handwriting Optical Character Recognition (OCR) based on the semantic similarity is presented. Different versions of the extraction of semantic similarity measures from a corpus are analysed, with the best results achieved for the combination of the text window context and Rank Weight Function. An algorithm of the word sequence selection with the high internal similarity is proposed. The method was trained and applied to a corpus of real medical documents written in Polish.