Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks

Jose D. Bermudez Castro,Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos,Fábio Corrêa Cordeiro, Antônio Marcelo Azevedo Alexandre,Marco A. Cavalcanti Pacheco

2021 21st International Conference on Computational Science and Its Applications (ICCSA)(2021)

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摘要
The Optical Character Recognition (OCR) models have improved a lot in the last years thanks to the advance of machine learning techniques. However, there is still a great challenge when images are too distorted, such as old scanned documents, where the characters are blurred or/and with irregular backgrounds. Document digitization is a crucial task in many enterprises to get all their information ...
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关键词
Measurement,Visualization,Optical distortion,Optical imaging,Generative adversarial networks,Adaptive optics,Optical character recognition software
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