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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书目详细资料
Main Authors: Khalaf, Emad Taha, Mohammed, Muamer N., Kohbalan, Moorthy, Khalaf, Ahmad Taha
格式: 文件
语言:English
出版: ICI Bucharest 2018
主题:
在线阅读:http://umpir.ump.edu.my/id/eprint/21528/1/Efficient%20classifying%20and%20indexing%20for%20large%20iris%20database.pdf