Correction of Medical Handwriting OCR Based on Semantic Similarity
Identifieur interne : 000E75 ( Main/Exploration ); précédent : 000E74; suivant : 000E76Correction of Medical Handwriting OCR Based on Semantic Similarity
Auteurs : Bartosz Broda [Pologne] ; Maciej Piasecki [Pologne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-540-77226-2_45
Affiliations:
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Le document en format XML
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