卫生信息系统中光学字符识别的比较研究

2019 International Conference in Engineering Applications (ICEA) Pub Date : 2019-07-08 DOI:10.1109/CEAP.2019.8883448

Mário R. M. Ribeiro, D. Julio, Vasco Abelha, A. Abelha, J. Machado

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引用次数: 7

摘要

大多数卫生机构正在物理格式和数字格式的文件之间进行转换。开发应用程序帮助卫生专业人员进行这一转变是相关和重要的。使用Python库开发了一个有助于文档数字化过程的应用程序。为了帮助决定使用哪个库，对PyOCR, PyTesseract和TesseOCR的执行精度和速度进行了研究。

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A Comparative Study of Optical Character Recognition in Health Information System

Most Health Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To help with the decision of which library to use, a study was made regarding the precision and speed of execution of PyOCR, PyTesseract and TesseOCR.

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2019 International Conference in Engineering Applications (ICEA)

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