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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Modified Weighted Direction Index Histogram Method for Schema Recognition
verfasst von : Hiroshi Kajiwara, Hiroharu Kawanaka, Koji Yamamoto, Haruhiko Takase, Shinji Tsuruoka
Erschienen in: Graphics Recognition. Current Trends and Challenges
Verlag: Springer Berlin Heidelberg
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Abstract
Recently, many clinical documents have been computerized because of diffusion of Hospital Information Systems (HIS). On the other hand, a large amount of paper-based documents are not used effectively, and these are now still archived as paper documents in hospitals. The authors proposed document image recognition methods for medical/clinical document retrieval. We also discussed the recognition method for schema (medical line drawing) images in the document, because these had key information for document retrieval. However, annotations added to the schema made the feature vector change drastically, as a result the recognition accuracy was reduced. This paper discussed a schema recognition method considering annotations. Actual schema images used in the hospital were employed as experimental materials. We confirmed that the recognition accuracy of the proposed method was improved to 98.52 %.