OCR Error Correction for Unconstrained Vietnamese Handwritten Text-Reference-Cited by-同舟云学术

OCR Error Correction for Unconstrained Vietnamese Handwritten Text

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
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Author:

Nguyen Quoc-Dung¹,Le Duc-Anh²,Zelinka Ivan³

Affiliation:

1. Van Lang University, Ho Chi Minh, Vietnam, Technical University of Ostrava, Ostrava-Poruba, Czech Republic

2. Center for Open Data in the Humanities, Tokyo, Japan

3. Technical University of Ostrava, Ostrava-Poruba, Czech Republic

Publisher

ACM Press

Reference23 articles.

1. Abdelhak Boukharouba and Abdelhak Bennia. 2017. Novel feature extraction technique for the recognition of handwritten digits. Applied Computing and Informatics 13, 1 (2017), 19--26. https://doi.org/10.1016/j.aci.2015.05.001

2. Amit Choudhary, Rahul Rishi, and Savita Ahlawat. 2013. Offline Handwritten Character Recognition Using Features Extracted from Binarization Technique. In AASRI Procedia, Vol. 4. 306--312. https://doi.org/10.1016/j.aasri.2013.10.045

3. Apurva A. Desai. 2010. Gujarati Handwritten Numeral Optical Character Reorganization Through Neural Network. Pattern Recognition 43, 7 (2010), 2582--2589. https://doi.org/10.1016/j.patcog.2010.01.008

4. Alex Graves, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber, and Santiago Fernández. 2008. Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. In Advances in Neural Information Processing Systems 20, J. C. Platt, D. Koller, Y. Singer, and S. T. Roweis (Eds.). Curran Associates, Inc., 577--584.

5. A. Graves, M. Liwicki, S. Fernández, R. Bertolami, H. Bunke, and J. Schmidhuber. 2009. A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31, 5 (2009), 855--868. https://doi.org/10.1109/TPAMI.2008.137

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