Exploring an Efficient Handwritten Manipuri Meetei-Mayek Character Recognition Using Gradient Feature Extractor and Cosine Distance Based Multiclass k-Nearest Neighbor Classifier

Kishorjit Nongmeikapam, Wahengbam Kumar, Mithlesh Prasad Singh


Anthology ID:
W17-7541
Volume:
Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
Month:
December
Year:
2017
Address:
Kolkata, India
Editor:
Sivaji Bandyopadhyay
Venue:
ICON
SIG:
Publisher:
NLP Association of India
Note:
Pages:
328–337
Language:
URL:
https://aclanthology.org/W17-7541
DOI:
Bibkey:
Cite (ACL):
Kishorjit Nongmeikapam, Wahengbam Kumar, and Mithlesh Prasad Singh. 2017. Exploring an Efficient Handwritten Manipuri Meetei-Mayek Character Recognition Using Gradient Feature Extractor and Cosine Distance Based Multiclass k-Nearest Neighbor Classifier. In Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), pages 328–337, Kolkata, India. NLP Association of India.
Cite (Informal):
Exploring an Efficient Handwritten Manipuri Meetei-Mayek Character Recognition Using Gradient Feature Extractor and Cosine Distance Based Multiclass k-Nearest Neighbor Classifier (Nongmeikapam et al., ICON 2017)
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https://preview.aclanthology.org/nschneid-patch-2/W17-7541.pdf