Binarization-Free Text Line Segmentation for Historical Documents Based on Interest Point Clustering-Reference-Cited by-同舟云学术

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Binarization-Free Text Line Segmentation for Historical Documents Based on Interest Point Clustering

Published:2012-03 Issue: Volume: Page:
ISSN:
Container-title:2012 10th IAPR International Workshop on Document Analysis Systems
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Author:

Garz Angelika,Fischer Andreas,Sablatnig Robert,Bunke Horst

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6195083/6195323/06195342.pdf?arnumber=6195342

Cited by 31 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

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2. A document analysis deep learning regression model for initial coin offerings success prediction;Expert Systems with Applications;2022-12

3. Handwritten Manchu Historical Document Segmentation with Anisotropic Gaussian Kernel;2022 China Automation Congress (CAC);2022-11-25

4. Text line segmentation in indian ancient handwritten documents using faster R-CNN;Multimedia Tools and Applications;2022-09-12

5. Noisy medieval data, from digitized manuscript to stylometric analysis: Evaluating Paul Meyer’s hagiographic hypothesis;Digital Scholarship in the Humanities;2021-10-01

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