Document details

A comparative study of optical character recognition in health information system

Author(s): Ribeiro, Mario R.M. ; Julio, Duarte ; Abelha, Vasco António Pinheiro Costa ; Abelha, António ; Machado, José Manuel

Date: 2019

Persistent ID: https://hdl.handle.net/1822/65909

Origin: RepositóriUM - Universidade do Minho

Subject(s): HIS; OCR; Python; Wrapper


Description

MHealth 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.

Document Type Conference paper
Language English
Contributor(s) Universidade do Minho
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