A Deep Learning-Based System for Document Layout Analysis-Reference-Cited by-同舟云学术

A Deep Learning-Based System for Document Layout Analysis

Published:2022-01-15 Issue: Volume: Page:
ISSN:
Container-title:2022 The 6th International Conference on Machine Learning and Soft Computing
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Author:

Tran Hong Tai¹,Nguyen Nam Quan²,Tran Tuan Anh¹,Mai Xuan Toan¹,Nguyen Quoc Thang¹

Affiliation:

1. Faculty of Computer Science & Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam

2. Research Department, Cinnamon AI, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3523150.3523154

Reference39 articles.

1. G. M. Binmakhashen , S. A. Mahmoud . 2019. Document layout analysis: A comprehensive survey ACM Computing Surveys (CSUR) , vol. 52 , no. 6, pp. 1–36. https://dl.acm.org/doi/abs/10.1145/3355610 G. M. Binmakhashen, S. A. Mahmoud. 2019. Document layout analysis: A comprehensive survey ACM Computing Surveys (CSUR), vol. 52, no. 6, pp. 1–36. https://dl.acm.org/doi/abs/10.1145/3355610

2. Image segmentation by shape-directed covers

3. J. Ha , R. M. Haralick , I. T. Phillips . 1995 . Recursive X-Y cut using bounding boxes of connected components, in Proceedings of ICDAR1995, Montreal , QC , Canada , pp. 952 - 955 . https://ieeexplore.ieee.org/abstract/document/602059/ J. Ha, R. M. Haralick, I. T. Phillips. 1995. Recursive X-Y cut using bounding boxes of connected components, in Proceedings of ICDAR1995, Montreal, QC, Canada, pp. 952-955. https://ieeexplore.ieee.org/abstract/document/602059/

4. A prototype document image analysis system for technical journals

5. Page segmentation for Manhattan and non-Manhattan layout documents via selective CRLA

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