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Handwritten recognition using SVM, KNN and neural network

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 20:35
Last Modified:29 Feb 2020 20:35

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