A New Approach for Palmprint Matching Using Statistical Parameters

Kanusu Srinivas Rao¹ and Ratnakumari Challa²

¹Department of Computer & Information Sciences, Tai Solarin University of Education, Ijebu-Ode, Ogun State (Nigeria).

²Department of Computer Science, University of Agriculture, Abeokuta, Ogun State (Nigeria).

ABSTRACT:

Intelligent e-voting data has been shown to pose a lot of benefit to e-voting especially in the area of security and recounting. After the election and balloting processes, valuable knowledge can still be extracted from this data. This work provides a framework model as roadmap for developers to follow in future development of such a system. The Perl based sample tested showed optimum performance and hence proves the viability of the methodology.

KEYWORDS: Text Mining; e-voting; knowledge extraction; data mining; semantic data; tree traversal

Copy the following to cite this article: Rao K. S, Challa² R. A New Approach for Palmprint Matching Using Statistical Parameters. Orient. J. Comp. Sci. and Technol;4(1)

Copy the following to cite this URL: Rao K. S, Challa² R. A New Approach for Palmprint Matching Using Statistical Parameters. Orient. J. Comp. Sci. and Technol;4(1). Available from: http://www.computerscijournal.org/?p=2456

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