Quality, Space and Time Competition on Binarizing Photographed Document Images-Reference-Cited by-同舟云学术

Quality, Space and Time Competition on Binarizing Photographed Document Images

Published:2023-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2023
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Author:

Lins Rafael Dueire¹^ORCID,de F. Pe Silva Gabriel²^ORCID,Chaves Gustavo P.³^ORCID,da Silva Barboza Ricardo³^ORCID,Bernardino Rodrigo Barros²^ORCID,Simske Steven J.⁴^ORCID

Affiliation:

1. UFRPE/UFPE, Recife, PE, Brazil

2. UFPE, Recife, PE, Brazil

3. UEA, Manaus, AM, Brazil

4. Colorado State University, CO, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573128.3604903

Reference71 articles.

1. Younes Akbari et al. 2019. Binarization of Degraded Document Images using Convolutional Neural Networks based on predicted Two-Channel Images. In ICDAR. Younes Akbari et al. 2019. Binarization of Degraded Document Images using Convolutional Neural Networks based on predicted Two-Channel Images. In ICDAR.

2. Elisa H. Barney Smith Laurence Likforman-Sulem and Jérôme Darbon. 2010. Effect of Pre-processing on Binarization. In Document Recognition and Retrieval XVII. 75340H. Elisa H. Barney Smith Laurence Likforman-Sulem and Jérôme Darbon. 2010. Effect of Pre-processing on Binarization. In Document Recognition and Retrieval XVII. 75340H.

3. An adaptive local bin. method for doc. images based on a novel thresh. method and dynamic windows;Bilal Bataineh;Ptrn. Recog. Letters,2011

4. A non-parametric binarization method based on ensemble of clustering algorithms

5. J Bernsen . 1986 . Dynamic thresholding of gray-level images . In International Conference on Pattern Recognition. 1251--1255 . J Bernsen. 1986. Dynamic thresholding of gray-level images. In International Conference on Pattern Recognition. 1251--1255.