Application of genetic algorithm for handwritten Kannada characters

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原文链接

NETL

外文摘要：Automation of character recognition system is an open research problem。 Many researchers have worked on recognition of printed characters， numerals but a very little amount of work is available on handwritten character recognition。 Our work is just a step towards checking the applicability of genetic algorithm for the recognition of handwritten Kannada characters。 Unfortunately， results obtained are very poor。 First we have used Euclidian distance method as a fitness function for our genetic algorithm。 Then we have used Mahalanobis distance method as a fitness function。 Results of the two are compared to check their effects on recognition rate of genetic algorithm。

外文关键词：

Euclidian distanceGenetic algorithmKannada charactersMahalanobis distanceMoments

作者：

Waghmare, V.S.、Ragha, L.R.

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作者单位：

Dept. of Comput. Eng., S.C.O.E., Kharghar, Navi Mumbai, India|c|

会议名称：

IEEE International Advance Computing Conference

会议地点：

Ghaziabad(IN)

会议母体文献：

2013 3rd IEEE International Advance Computing Conference

页码：

989-994

出版时间：

2013

DOI：

10.1109/IAdCC.2013.6514361