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Off-line handwriting recognition system based on GA and visual encoding

Published: 25 July 2009 Publication History

Abstract

Our day, the communication technology has been progressed. The handwriting is one of the most familiar communication media. Both online and off line recognition of the handwriting are largely presented in literature. In this paper, we proceed to reconstruct the temporally order from the scanned handwritten Arabic words. We used the GA system to recognize the handwritten words. The input signal presents a string of visual codes. Note that the last one can be either directly collected from a PDA or it can be the restored signal from an image of handwritten script. To validate our approach we used the IfN/ENIT dataset.

References

[1]
A. M. Alimi. Evolutionary computation for the recognition of on-line cursive handwriting. IETE Journal of Research, Special Issue on Evolutionary Computation in Engineering Sciences, 48(5):385--396, 2002.
[2]
H. El Abed and V. Märgner. Comparison of Different Preprocessing and Feature Extraction Methods for Offline Recognition of Handwritten Arabic Words. In Proceedings of the 8th International Conference on Document Analysis and Recognition (ICDAR), volume 2, pages 974--978, 2007.
[3]
H. El Abed and V. Märgner. Base de Données et Compétitions - Outils de Développement et d'Évaluation de Systèmes de Reconnaissance de Mots Manuscrits Arabes. In Colloque International Francophone sur l'Ecrit et le Document (CIFED), pages 103--108, 2008.
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A. Elbaati, M. Kherallah, A. M. Alimi, and A. Ennaji. De l'Hors-Ligne Vers un Système de Reconnaissance En-Ligne: Application à la Modélisation de l'Écriture Arabe Manuscrite Ancienne. In Semaine du document numérique, SDN (ANAGRAM), 2006.
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M. Kherallah, F. Bouri, and A. M. Alimi. On-line arabic handwriting recognition system based on visual encoding and genetic algorithm. Engineering Applications of Artificial Intelligence, 22:153--170, 2009.
[6]
M. Kherallah, L. Haddad, A. M. Alimi, and A. Mitiche. On-line handwritten digit recognition based on trajectory and velocity modeling. Pattern Recognition Letters, 29:580--594, 2008.
[7]
L. Magnien, J.-L. Bouraoui, and F. Vella. Utilisation d'indices visuels pour l'aide à la saisie de texte sur pda. In 15émes Confèrence Francophone sur l'Interaction Homme-Machine (IHM), pages 252--255, November 2003.
[8]
A. M. Namboodiri and A. K. Jain. Online handwritten script recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1):124--130, 2004.

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  • (2018)Writing type, script and language identification in heterogeneous documentsInternational Journal of Intelligent Systems Technologies and Applications10.1504/IJISTA.2017.08535816:3(225-245)Online publication date: 17-Dec-2018

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cover image ACM Other conferences
MOCR '09: Proceedings of the International Workshop on Multilingual OCR
July 2009
139 pages
ISBN:9781605586984
DOI:10.1145/1577802
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 July 2009

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Author Tags

  1. GA algorithms
  2. IfN/ENIT-database
  3. off-line handwriting recognition
  4. visual encoding

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MOCR '09

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Overall Acceptance Rate 17 of 34 submissions, 50%

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  • (2018)Writing type, script and language identification in heterogeneous documentsInternational Journal of Intelligent Systems Technologies and Applications10.1504/IJISTA.2017.08535816:3(225-245)Online publication date: 17-Dec-2018

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