Character recognition based on global feature extraction

Maryam Naeimizaghiani, Siti Norul Huda Sheikh Abdullah, Bilal Bataineh, Farshid Pirahansiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper presents a enhanced feature extraction method which is a combination and selected of two feature extraction techniques of Gray Level Co occurrence Matrix (GLCM) and Edge Direction Matrixes (EDMS) for character recognition purpose. It is apparent that one of the most important steps in a character recognition system is selecting a better feature extraction technique, while the variety of method makes difficulty for finding the best techniques for character recognition. The dataset of images that has been applied to the different feature extraction techniques includes the binary character with different sizes. Experimental results show the better performance of proposed method in compared with GLCM and EDMS method after performing the feature selection with neural network, bayes network and decision tree classifiers

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Character recognition
Feature extraction
Decision trees
Classifiers
Neural networks

Keywords

  • character recognition
  • feature extraction
  • image processing
  • OCR

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Naeimizaghiani, M., Sheikh Abdullah, S. N. H., Bataineh, B., & Pirahansiah, F. (2011). Character recognition based on global feature extraction. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021649] https://doi.org/10.1109/ICEEI.2011.6021649

Character recognition based on global feature extraction. / Naeimizaghiani, Maryam; Sheikh Abdullah, Siti Norul Huda; Bataineh, Bilal; Pirahansiah, Farshid.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021649.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Naeimizaghiani, M, Sheikh Abdullah, SNH, Bataineh, B & Pirahansiah, F 2011, Character recognition based on global feature extraction. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021649, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021649
Naeimizaghiani M, Sheikh Abdullah SNH, Bataineh B, Pirahansiah F. Character recognition based on global feature extraction. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021649 https://doi.org/10.1109/ICEEI.2011.6021649
Naeimizaghiani, Maryam ; Sheikh Abdullah, Siti Norul Huda ; Bataineh, Bilal ; Pirahansiah, Farshid. / Character recognition based on global feature extraction. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
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