Discrimination of machine-printed from handwritten text using simple structural characteristics
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/9258/29385/01334152.pdf?arnumber=1334152
Cited by 23 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. MLing-Net: A computationally inexpensive deep neural framework designed to perform multilingual image document classification;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18
2. Pixel-Level Segmentation of Handwritten and Printed Texts in Document Images with Deep Learning;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28
3. Handwritten Annotation Spotting in Printed Documents Using Top-Down Visual Saliency Models;ACM Transactions on Asian and Low-Resource Language Information Processing;2022-05-31
4. Meta‐feature based few‐shot Siamese learning for Urdu optical character recognition;Computational Intelligence;2022-05-19
5. Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stage;Neural Computing and Applications;2019-08-28
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