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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ICI Bucharest
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21528/1/Efficient%20classifying%20and%20indexing%20for%20large%20iris%20database.pdf http://umpir.ump.edu.my/id/eprint/21528/ https://sic.ici.ro/efficient-classifying-and-indexing-for-large-iris-database-based-on-enhanced-clustering-method/ |
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| Institution: | Universiti Malaysia Pahang Al-Sultan Abdullah |
| Language: | English |