Layout Analysis for Historical Manuscripts Using Sift Features
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6065245/6065247/06065363.pdf?arnumber=6065363
Cited by 24 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. A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
2. Digitizing History: Transitioning Historical Paper Documents to Digital Content for Information Retrieval and Mining—A Comprehensive Survey;IEEE Transactions on Computational Social Systems;2024
3. Layout Analysis of Malayalam Palm Leaf Images with Fully Convolutional Networks;2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC);2023-09-07
4. Deep Layout Extraction Applied to Historical Postcards;Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence;2022
5. Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples;International Journal on Document Analysis and Recognition (IJDAR);2021-03-03
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