Abdul Hamid, Norhidayu and Amir Sjarif, Nilam Nur (2017) Handwritten recognition using SVM, KNN and neural network. Computing Research Repository (CoRR) . pp. 1-11.
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Official URL: https://arxiv.org/ftp/arxiv/papers/1702/1702.00723...
Abstract
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 Neural Network.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Handwritten recognition, SVM, K-Nearest Neighbor, Neural Network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineer. Computer hardware |
| Divisions: | Advanced Informatics School |
| ID Code: | 84493 |
| Deposited By: | Fazli Masari |
| Deposited On: | 29 Feb 2020 12:35 |
| Last Modified: | 29 Feb 2020 12:35 |
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