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Application of Data Mining Techniques to Palmprint Recognition

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IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET 2012)
© 2012 by IJCA Journal
icwet2012 - Number 9
Year of Publication: 2012
Authors:
Prachi Janrao
Vikas Singh

Prachi Janrao and Vikas Singh. Article: Application of Data Mining Techniques to Palmprint Recognition. IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET 2012) icwet(9):36-39, March 2012. Full text available. BibTeX

@article{key:article,
	author = {Prachi Janrao and Vikas Singh},
	title = {Article: Application of Data Mining Techniques to Palmprint Recognition},
	journal = {IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET 2012)},
	year = {2012},
	volume = {icwet},
	number = {9},
	pages = {36-39},
	month = {March},
	note = {Full text available}
}

Abstract

Data mining is a powerful technology that extracts and analyzes data for finding correlations or patterns from the large sets of databases. It performs pattern analysis on large sets of data, using tools like association, clustering, segmentation and classification for helping bettermanipulation of the data. Palmprint is considered to be one of the most stable biometric characteristics. Over the last decade implementation of Palmprint recognition for security purpose has been increased all over the world. The paper proposes the application of Data mining techniques to the Palmprint recognition for improving the performance of retrieval

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