Schema Recognition Using Modified Weighted Direction Index Histogram for Medical Document Retrieval Systems

被引：0

作者：

Kajiwara, Hiroshi ^{[1
]}

Kawanaka, Hiroharu ^{[1
]}

Yamamoto, Koji ^{[2
]}

Takase, Haruhiko ^{[1
]}

Tsuruoka, Shinji ^{[3
]}

机构：

[1] Mie Univ, Grad Sch Engn, Tsu, Mie 5148507, Japan

[2] Suzuka Univ Med Sci, Fac Med Engn, Suzuka, Mie 5100293, Japan

[3] Mie Univ, Grad Sch Reg Innovat Studies, Tsu, Mie 5148507, Japan

来源：

6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS | 2012年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discusses a schema recognition method considering annotations to improve recognition accuracy of the previous method. Previously, we studied document image recognition methods for medical/clinical documents and their applications. In addition, we also discussed the method to recognize schemas in the document, because they had important key information for medical document retrieval. However, annotations made a feature vector change drastically, as a result, reduction of the recognition accuracy was caused. In this paper, annotations were automatically detected, and the feature vectorconsidering them was generated. We conducted evaluation experiments using actual schemas used in Mie University Hospital. After experiments, the recognition accuracy of the proposed method was 96%.

引用

页码：803 / 806

页数：4

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