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 %.
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Kajiwara, H., Kawanaka, H., Yamamoto, K., Takase, H., Tsuruoka, S. (2014). Modified Weighted Direction Index Histogram Method for Schema Recognition. In: Lamiroy, B., Ogier, JM. (eds) Graphics Recognition. Current Trends and Challenges. GREC 2013. Lecture Notes in Computer Science(), vol 8746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44854-0_6
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DOI: https://doi.org/10.1007/978-3-662-44854-0_6
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