On Development and Performance Evaluation of Novel Odia Handwritten Digit Recognition Methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-017-2652-6/fulltext.html
Reference59 articles.
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4. Niu, X.-X.; Suen, C.Y.: A novel hybrid CNN–SVM classifier for recognizing handwritten digits. Pattern Recognit. 45, 1318–1325 (2012)
5. Das, N.; Sarkar, R.; Basu, S.; Kundu, M.; Nasipuri, M.; Basu, D.K.: A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application. Appl. Soft Comput. 12, 1592–1606 (2012)
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