A clustering‐based feature selection framework for handwritten Indic script classification

Author:

Chatterjee Iman1,Ghosh Manosij2ORCID,Singh Pawan Kumar2ORCID,Sarkar Ram2ORCID,Nasipuri Mita2ORCID

Affiliation:

1. Department of Computer ScienceUniversity of California Davis California

2. Department of Computer Science and EngineeringJadavpur University Kolkata India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference55 articles.

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3. Basu S. Das N. Sarkar R. Kundu M. Nasipuri M. &Basu D. K.(2012).Handwritten Bangla alphabet recognition using an MLP based classifier. ArXiv Preprint ArXiv:1203.0882.

4. Benjelil M. Kanoun S. Mullot R. &Alimi A. M.(2009).Arabic and Latin script identification in printed and handwritten types based on steerable pyramid features. In2009 10th International Conference on Document Analysis and Recognition(pp. 591–595). IEEE.

5. Bhatia T. &Ritchie W. C.(2004).29 bilingualism in South Asia.The Handbookof Bilingualism 780.

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