A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection

Published:2022-11-14 Issue: Volume: Page:
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Ranjbarzadeh Ramin,Jafarzadeh Ghoushchi Saeid,Anari Shokofeh,Safavi Sadaf,Tataei Sarshar Nazanin,Babaee Tirkolaee Erfan^ORCID,Bendechache Malika

Funder

Science Foundation Ireland

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-022-10072-w.pdf

Reference82 articles.

1. Arafat SY, Ashraf N, Iqbal MJ, Ahmad I, Khan S, Rodrigues JJPC. Urdu signboard detection and recognition using deep learning. Multimed Tools Appl. 2022;81(9):11965–87. https://doi.org/10.1007/S11042-020-10175-2/FIGURES/14.

2. He W, Zhang XY, Yin F, Liu CL. Multi-oriented and multi-lingual scene text detection with direct regression. IEEE Trans Image Process. 2018;27(11):5406–19. https://doi.org/10.1109/TIP.2018.2855399.

3. Aiman A, Shen Y, Bendechache M, Inayat I, Kumar T. AUDD: audio urdu digits dataset for automatic audio urdu digit recognition. Appl Sci. 2021;11(19):8842. https://doi.org/10.3390/APP11198842.

4. He W, Zhang X-Y, Yin F, Liu C-L. Deep direct regression for multi-oriented scene text detection. 2017.

5. Liu F, Chen C, Gu D, Zheng J. FTPN: scene text detection with feature pyramid based text proposal network. IEEE Access. 2019;7:44219–28. https://doi.org/10.1109/ACCESS.2019.2908933.

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