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Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition.

Shereen Moataz Muhammad Siddiq et al · University of Mosul, College of Education for Pure Science · 2013

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Author / responsible party
Shereen Moataz Muhammad Siddiq et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English
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Abstraction:<br /> The work explores the potentiality of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition. In particular, a retraining scheme for the clonal selection algorithm is formulated for better recognition rates. Empirical study with a dataset (which contains about 100 handwritten samples for 26 characters taken from 30 persons) shows that the proposed approach exhibits very good generalization ability, such that results reported recognition accuracy reached to 100% for the recognition of characters that have been used in building database, and an average recognition accuracy of about 94% for other characters.

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APA 7

al, S. M. M. S. E. (2013). Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition. https://doi.org/10.33899/edusj.2013.89897

MLA

al, Shereen Moataz Muhammad Siddiq et. "Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition." 2013. https://doi.org/10.33899/edusj.2013.89897.

Chicago

al, Shereen Moataz Muhammad Siddiq et. 2013. "Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition.". https://doi.org/10.33899/edusj.2013.89897.

Harvard

al, S. M. M. S. E. 2013, Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2013.89897 [Accessed 8 Aug. 2026].

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Title
Software engineering of a clonal selection algorithm and it's hybridizing with the genetic algorithm GA in cursive and discrete handwritten English character recognition.
Author / contributors
Shereen Moataz Muhammad Siddiq et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English

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software engineering; clonal selection algorithm; hybridizing; genetic algorithm ga
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