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The Incremental Artificial Immune System for Arabic Handwritten Recognition

The Incremental Artificial Immune System for Arabic Handwritten Recognition

Khelil Hiba, Benyettou Abdelkader, Afef Kacem
Copyright: © 2019 |Volume: 12 |Issue: 4 |Pages: 19
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522564775|DOI: 10.4018/JITR.2019100105
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MLA

Hiba, Khelil, et al. "The Incremental Artificial Immune System for Arabic Handwritten Recognition." JITR vol.12, no.4 2019: pp.88-106. http://doi.org/10.4018/JITR.2019100105

APA

Hiba, K., Abdelkader, B., & Kacem, A. (2019). The Incremental Artificial Immune System for Arabic Handwritten Recognition. Journal of Information Technology Research (JITR), 12(4), 88-106. http://doi.org/10.4018/JITR.2019100105

Chicago

Hiba, Khelil, Benyettou Abdelkader, and Afef Kacem. "The Incremental Artificial Immune System for Arabic Handwritten Recognition," Journal of Information Technology Research (JITR) 12, no.4: 88-106. http://doi.org/10.4018/JITR.2019100105

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Abstract

The historical document is a treasure. The frequent use of these documents requires having a numeric copy. The use of these numeric documents requires developing techniques to facilitate their use. The search by content, the word spotting, and handwriting recognition became important points of research in document analysis. For this purpose, in this article is covered the recognition of the Arabic manuscript names extracted from the register of names of the Tunisian national archive. In the study, the authors have used several techniques for extracting knowledge, coding, and name recognition. The authors have also optimized the clonclas algorithm using the incremental principle from the i2gng algorithm. The results encourage continuing exploration.

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