Name
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 %. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-662-44854-0_6 | GRAPHICS RECOGNITION: CURRENT TRENDS AND CHALLENGES |
Keywords | Field | DocType |
Schema recognition, Medical/clinical document retrieval, Weighted direction index histogram, Modified bayesian discriminant function | Information system,Histogram,Feature vector,Pattern recognition,Computer science,Histogram matching,Artificial intelligence,Balanced histogram thresholding,Document retrieval,Schema (psychology),Line drawings | Conference |
Volume | ISSN | Citations |
8746 | 0302-9743 | 1 |
PageRank | References | Authors |
0.44 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Kajiwara | 1 | 1 | 0.44 |
| Hiroharu Kawanaka | 2 | 37 | 23.25 |
| Koji Yamamoto | 3 | 5 | 2.09 |
| Haruhiko Takase | 4 | 38 | 17.24 |
| Shinji Tsuruoka | 5 | 186 | 35.56 |