Efficient Genetic Algorithms for Arabic Handwritten Characters Recognition-Reference-Cited by-同舟云学术

Efficient Genetic Algorithms for Arabic Handwritten Characters Recognition

Published:2006 Issue: Volume: Page:3-14
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
language:
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Author:

Al-zoubaidy Laheeb M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-36266-1_1.pdf

Reference12 articles.

1. Davis L. ( 1991), Handbook on Genetic Algorithms, Van Nostrand, Reinhold.

2. Ho S.Y. & Huang H.L. (2001), Facial Modeling From an Uncalibrated Face Image Using a Coarse-to-Fine Genetic Algorithm, Pattern Recognition, 34(5).

3. Kim G. & Govindaraju V. (1997), A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4).

4. Kim G. &, Kim S. (2000), Feature Selection Using Genetic Algorithms for Handwritten Character Recognition. In 7th IWFHR, Amsterdam-Netherlands.

5. Kim B.S. & Song H.-J. (1998), An Efficient Preprocessing and Feature Extraction Method Based on Chain Code for Recognizing Handwritten Characters (in Korean), Journal of KISS(B): Software and Applications, 25(12).

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