AUTNT - A component level dataset for text non-text classification and benchmarking with novel script invariant feature descriptors and D-CNN-Reference-Cited by-同舟云学术

AUTNT - A component level dataset for text non-text classification and benchmarking with novel script invariant feature descriptors and D-CNN

Published:2019-07-31 Issue:22 Volume:78 Page:32159-32186
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Khan Tauseef,Mollah Ayatullah Faruk

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-08028-8.pdf

Reference60 articles.

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2. AU Text Non-Text Dataset, https://github.com/iilabau/AUTNTdataset

3. Bai X, Shi B, Zhang C, Cai X, Qi L (2017) Text/non-text image classification in the wild with convolutional neural networks. In: Pattern Recognition, vol 66, pp 437–446, Elsevier

4. Baird HS, Jones SE, Fortune SJ (1990) Image segmentation by shape-directed covers. In: Proceedings of the 10th International Conference on Pattern Recognition, vol.1, pp. 820–825, IEEE

5. Bhowmik S, Sarkar R, Nasipuri M, Doermann D (2018) Text and non-text separation in offline document images: a survey. Int J Doc Anal Recognit 21(1–2):1–20, Springer

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