Editor/Reviewer login
Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 9 Issue 4 ijcatr09041007

IJCATR Volume 9 Issue 4

Feature Extraction Phase for Offline Arabic Handwritten Character Recognition

Dr. Rawia I. O. Ahmed ,Dr. Mohamed E. M. Musa
10.7753/IJCATR0904.1007
keywords : optical character recognition; offline recognition; online recognition; handwritten, preprocessing; Feature Extraction: Freeman Chain codes.

PDF
In this paper we reviewed the importance issues of the optical character recognition, gives more emphases for OCR and its phases. We discuss the main characteristics of Arabic language, furthermore it focused on Feature Extraction phase of the character recognition system. We described and implemented the algorithm of Feature Extraction based on Freeman Chain codes. The algorithms are tested using 47,988 isolated character sample taken from SUST/ ALT dataset and achieved better results. The Feature Extraction phase developed by using MATLAB software.
@artical{d942020ijcatr09041007,
Title = "Feature Extraction Phase for Offline Arabic Handwritten Character Recognition",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "9",
Issue ="4",
Pages ="165 - 168",
Year = "2020",
Authors ="Dr. Rawia I. O. Ahmed ,Dr. Mohamed E. M. Musa "}
  • The paper proposes a Feature Extraction phase for Offline Arabic Handwritten Character Recognition
  • Freeman Chain codes algorithm uses to extract the character features
  • 47,988 isolated character sample taken from SUST/ ALT dataset to evaluate the performance
  • In the simulation, a performance evaluation of the algorithm is carried out.
Copyright © 2012-2024 International Journal of Computer Applications Technology and Research All Rights Reserved.