Hybrid Models for Offline Handwritten Character Recognition System Without Using any Prior Database Images-Reference-Cited by-同舟云学术

Hybrid Models for Offline Handwritten Character Recognition System Without Using any Prior Database Images

Published:2017-06-01 Issue: Volume: Page:99-108
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Hotwani Kamal,Agarwal Sanjeev,Paswan Roshan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3223-3_10

Reference8 articles.

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3. Jangid, M., Srivastava, S.: Gradient local auto-correlation for handwritten Devanagari character recognition. In: 2014 International Conference on High Performance Computing and Applications (ICHPCA), pp. 1–5. IEEE (2014)

4. Sun, Q.S., Zeng, S.G., Heng, P.A., Xia, D.S.: Feature fusion method based on canonical correlation analysis and handwritten character recognition. In: Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th, vol. 2, pp. 1547–1552. IEEE (2004)

5. Dunn, C.E., Wang, P.S.P.: Character segmentation techniques for handwritten text-a survey. In: 11th IAPR International Conference on, Pattern Recognition, 1992. vol. II. Conference B: Pattern Recognition Methodology and Systems, Proceedings, pp. 577–580. IEEE (1992)