Handwriting digit recognition using local binary pattern variance and K-Nearest Neighbor classification-Reference-Cited by-同舟云学术

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Handwriting digit recognition using local binary pattern variance and K-Nearest Neighbor classification

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 4th International Conference on Information and Communication Technology (ICoICT)
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Author:

Ilmi Nurul,Budi W Tjokorda Agung,Nur R Kurniawan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7565234/7571870/07571937.pdf?arnumber=7571937

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SVM, KNN, and Neural Networks Investigated for Machine Learning in Written Word Decoding;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-05

2. Determining Accuracy in Classifying Handwritten Digit Recognition using Support Vector Machine with Freeman Chain Code over K-nearest neighbor;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

3. Low visibility event prediction using random forest and K-nearest neighbor methods;Theoretical and Applied Climatology;2023-10-07

4. Handwritten Character Recognition Using Directed Acyclic Graph;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06

5. Classification methods for handwritten digit recognition: A survey;Vojnotehnicki glasnik;2023

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