Handwritten recognition using SVM, KNN and neural network
Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touchscreens and other devices. In this paper we will using three (3) classification to recognize the handwritten which is SVM, KNN and...
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| Main Authors: | , |
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| Format: | Article |
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Cornell University
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84493/ https://arxiv.org/ftp/arxiv/papers/1702/1702.00723.pdf |
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