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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/33720
Title: Medical document reader on Android smartphone
Authors: Arrart Kongtaln
Sutthipong Minsakorn
Lalita Yodchaloemkul
Sirasit Boontarak
Sukanya Phongsuphap
Mahidol University
Keywords: Computer Science;Engineering
Issue Date: 1-Jan-2014
Citation: Proceedings of the 2014 3rd ICT International Senior Project Conference, ICT-ISPC 2014. (2014), 65-68
Abstract: © 2014 IEEE. This paper presents a method for reading medical documents by using an Android smartphone. We have used techniques based on the Tesseract OCR Engine to extract the text content from medical document images such as a physical examination report. The following factors related to the document are considered: character font, text block size, and distance between the document and the camera on the phone. Based on experimental results, we found that among three character fonts (Angsana New, Calibri, and Tahoma), Calibri and Tahoma gave very high average accuracies (greater than 90%) for both character recognition and word recognition, but Angsana New gave quite a lower accuracy, about 75%. For the optimal distance between the document and the smartphone, the recommended distance is from 12 cm. to 15 cm. for a document block size of 21 × 3, 13 × 10, 12 × 8, or 10 × 13 cm2.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84911400355&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/33720
Appears in Collections:Scopus 2011-2015

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