pubs2024

@inproceedings{Ribeiro2019,

title = {A Comparative Study of Optical Character Recognition in Health Information System},

author = {M. R. M. Ribeiro and D. Julio and V. Abelha and A. Abelha and J. MacHado},

editor = {Quintal F. Morgado-Dias F.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075045115&doi=10.1109%2fCEAP.2019.8883448&partnerID=40&md5=1de6f86565f23ef15d48173be053cf26},

doi = {10.1109/CEAP.2019.8883448},

isbn = {9781728129624},

year  = {2019},

date = {2019-01-01},

journal = {2019 International Conference on Engineering Applications, ICEA 2019 - Proceedings},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {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. © 2019 IEEE.},

note = {cited By 6; Conference of 2019 International Conference on Engineering Applications, ICEA 2019 ; Conference Date: 8 July 2019 Through 11 July 2019; Conference Code:153483},

keywords = {Comparative studies; Digital format; Health information systems; Health professionals; Python; Wrapper, Health, High level languages; Optical character recognition},

pubstate = {published},

tppubtype = {inproceedings}

}