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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Samei, A. Targhi, A.T. Dehshibi, M.M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci., Shahid Behshti Univ., Tehran, Iran (Samei, A.; Targhi, A.T.; Dehshibi, M.M.) |
| Abstract | This paper presents an automatic document processing system for the extraction of data which are illustrated in medical laboratory results printed on a paper. The final goal of the research is to make the collection of medical data automatic and to enable an efficient management and description of the information in a way that a patient or a senior medicine student can understand the document just like an expert physician. In order to reach the mentioned goals, following the forthcoming steps was necessary in the proposed method. (i) Image pre-preprocessing, (ii) layout analysis for the identification of the tables' data contained in the document' (iii) extraction and classification of the laboratory results using template matching and HoG features in combination with a Support Vector Machine (SVM). Providing information for the application user need to constructing a knowledge base in which the relevant information of Wikipedia is used. The proposed approach has been tested on several document formats and performance analysis shows its superiority as well as simplicity. |
| Starting Page | 95 |
| Ending Page | 98 |
| File Size | 4305689 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781467391528 |
| DOI | 10.1109/ICDIM.2015.7381859 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms HoG Medical Data Medical Services Support Vector Machine Biomedical imaging Document Image Processing |
| Content Type | Text |
| Resource Type | Article |
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