期刊名称:ELCVIA: electronic letters on computer vision and image analysis
印刷版ISSN:1577-5097
出版年度:2015
卷号:14
期号:1
页码:61-73
DOI:10.5565/rev/elcvia.648
语种:English
出版社:Centre de Visió per Computador
摘要:Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character recognition (OCR) systems. In this paper we present binarization method based on retinex theory followed by a global threshold. High quality results in terms of visual criteria and OCR performance is produced compared to the previous works.
其他摘要:Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character recognition (OCR) systems. In this paper we present binarization method based on retinex theory followed by a global threshold. High quality results in terms of visual criteria and OCR performance is produced compared to the previous works.