Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach-Reference-Cited by-同舟云学术

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Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach

Published:2016-04 Issue: Volume: Page:
ISSN:
Container-title:2016 12th IAPR Workshop on Document Analysis Systems (DAS)
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Author:

Emambakhsh Mehryar,He Yulan,Nabney Ian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7485953/7490073/07490151.pdf?arnumber=7490151

Cited by 5 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. 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

3. Enhancing Enterprise Business Processes Through AI Based Approach for Entity Extraction – An Overview of an Application;Communications in Computer and Information Science;2021

4. Feedforward Back Propagation Neural Network (FFBPNN) Based Approach for the Identification of Handwritten Math Equations;Advances in Intelligent Systems and Computing;2020-07-24

5. Separation of Handwritten and Machine-Printed Texts from Noisy Documents Using Contourlet Transform;Arabian Journal for Science and Engineering;2018-06-08

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