Proposed Multi Feature Extraction Method for Off-line Arabic Handwriting Word Recognition

Authors

  • Alia Karim Abdul Hassan
  • Mohammed Alawi

Keywords:

Feature Extraction, Gradient feature, DWT, KNN

Abstract

This paper presents a proposed system for Arabic word recognition by using a set of techniques for feature extraction and KNN classifier. This system recognizes the Arabic word as one entity without segmentation approach .A proposed feature extraction method based on Discrete Wavelet Transform, upper/lower profile projection and the gradient (directional) feature. In order to evaluated the proposed system used IESK-arDB database and the experimental results showed the recognition rate of 89.05%.

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Published

10/06/2022

Issue

Vol. 30 No. 1 (2018): VoL30

Section

Articles

How to Cite

Proposed Multi Feature Extraction Method for Off-line Arabic Handwriting Word Recognition . (2022). Al-Mansour Journal, 30(1), 17-31. https://journal.muc.edu.iq/journal/article/view/133