Deep Learning-Based Segmentation of Connected Components in Arabic Handwritten Documents-Reference-Cited by-同舟云学术

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Deep Learning-Based Segmentation of Connected Components in Arabic Handwritten Documents

Published:2022 Issue: Volume: Page:93-106
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Gader Takwa Ben Aïcha,Echi Afef Kacem

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08277-1_8

Reference17 articles.

1. Alaei, A., Pal, U., Nagabhushan, P.N.: A new scheme for unconstrained handwritten text-line segmentation. Pattern Recogn. 44(04), 917–928 (2011)

2. Alom, M.Z., Hasan, M., Yakopcic, C., Taha, T., Asari, V.: Recurrent residual convolutional neural network based on U-net (R2U-net) for medical image segmentation (2018)

3. Aouadi, N., Kacem, A.: A proposal for touching component segmentation in Arabic manuscripts. Pattern Anal. Appl. 20, 1–23 (2017)

4. Belongie, S.J., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. TPAMI 24(04), 509–522 (2002)

5. Kang, L., Doermann, D.: Template based segmentation of touching components in handwritten text lines, pp. 569–573 (2011)

Cited by 1 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 Survey on Text-Line Segmentation in Arab Historical Manuscripts;International Journal of Informatics and Applied Mathematics;2024-06-13

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