Efficient classifying and indexing for large iris database based on enhanced clustering method

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Efficient classifying and indexing for large iris database based on enhanced clustering method

Explosive growth in the volume of stored biometric data has resulted in classification and indexing becoming important operations in image database systems. A new method is presented in this paper to extract the most relevant features of iris biometric images for indexing the iris database. Three tr...

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Bibliographic Details
Main Authors:	Khalaf, Emad Taha, Mohammed, Muamer N., Kohbalan, Moorthy, Khalaf, Ahmad Taha
Format:	Article
Language:	English
Published:	ICI Bucharest 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/21528/ http://umpir.ump.edu.my/id/eprint/21528/1/Efficient%20classifying%20and%20indexing%20for%20large%20iris%20database.pdf

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