English

Handwritten Recognition Using SVM, KNN and Neural Network

Computer Vision and Pattern Recognition 2017-02-03 v1

Abstract

Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touch-screens and other devices. In this paper we will using three (3) classification t o re cognize the handwritten which is SVM, KNN and Neural Network.

Keywords

Cite

@article{arxiv.1702.00723,
  title  = {Handwritten Recognition Using SVM, KNN and Neural Network},
  author = {Norhidayu Abdul Hamid and Nilam Nur Amir Sjarif},
  journal= {arXiv preprint arXiv:1702.00723},
  year   = {2017}
}

Comments

11 pages ; 22 Figures

R2 v1 2026-06-22T18:07:50.204Z