Binarisation of photographed documents image quality and processing time assessment
Author:
Affiliation:
1. UFRPE/UFPE, Recife, Brazil
2. Colorado State University
3. UFPE, Recife, Brazil
Funder
CNPq - Brazilian Goverment
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3469096.3470833
Reference52 articles.
1. Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel Images
2. An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows;Bataineh Bilal;Pattern Recog. Letters,2011
3. J Bernsen. 1986. Dynamic thresholding of gray-level images. In ICPR. J Bernsen. 1986. Dynamic thresholding of gray-level images. In ICPR.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. YinYang, a Fast and Robust Adaptive Document Image Binarization for Optical Character Recognition;Proceedings of the ACM Symposium on Document Engineering 2023;2023-08-22
2. A Quality, Size and Time Assessment of the Binarization of Documents Photographed by Smartphones;Journal of Imaging;2023-02-13
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