Separation of Handwritten and Machine-Printed Texts from Noisy Documents Using Contourlet Transform-Reference-Cited by-同舟云学术

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Separation of Handwritten and Machine-Printed Texts from Noisy Documents Using Contourlet Transform

Published:2018-06-08 Issue:12 Volume:43 Page:8159-8177
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Sahare Parul^ORCID,Dhok Sanjay B.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/article/10.1007/s13369-018-3365-1/fulltext.html

Reference66 articles.

1. Sahare, P.; Dhok, S.B.: Review of text extraction algorithms for scene-text and document images. IETE Tech. Rev. 34(2), 144–164 (2016)

2. Busch, A.; Boles, W.W.; Sridharan, S.: Texture for script identification. IEEE Trans. Pattern Anal. Mach. Intell. 27(11), 1720–1732 (2005)

3. Zheng, Y.; Li, H.: Machine printed text and handwriting identification in noisy document images. IEEE Trans. Pattern Anal. Mach. Intell. 26(3), 337–353 (2004)

4. Zagoris, K.; Pratikakis, I.; Antonacopoulos, A.: Distinction between handwritten and machine-printed text based on the bag of visual words model. Pattern Recognit. 47(3), 1051–1062 (2014)

5. Mathivanan, P.; Ganesamoorthy, B.; Maran, P.: Watershed algorithm based segmentation for handwritten text identification. ICTACT J. Image Video Process. 4(3), 767–772 (2014)

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