Ant Colony Clustering Algorithm for Handwritten Arabic Numeral Recognition

Kai Hua Hu; Bing Xiang Liu; Yu Jing Zhang

doi:10.4028/www.scientific.net/AMM.190-191.261

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191Ant Colony Clustering Algorithm for Handwritten...

Ant Colony Clustering Algorithm for Handwritten Arabic Numeral Recognition

Abstract:

This article is based on Ant Colony Clustering Algorithm for Handwritten Arabic Numeral Recognition on an image. Under the precondition of the clustering numbers are known and a adequate treatment process was developed for the image, we carry through cluster analysis to digital image by experiment. The article elaborates on the basic concepts and the algorithm’s principle of Ant Colony Clustering Algorithm. The workflow to the algorithmic flow of Ant Colony Clustering Algorithm will be elaborated in the following chapters. The paper also detailed discuss the implement of the algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

261-264

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.261

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Online since:

July 2012

Authors:

Kai Hua Hu, Bing Xiang Liu, Yu Jing Zhang

Keywords:

Ant Colony Algorithm (ACA), Clustering Analysis, Handwritten Arabic Numeral Recognition

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References

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