Robust partitioning and indexing for iris biometric database based on local features
Explosive growth in the volume of stored biometric data has resulted in classification and indexing becoming important operations in image database systems. Consequently, researchers are focused on finding suitable features of images that can be used as indexes. Stored templates have to be classifie...
| Main Authors: | Khalaf, Emad Taha, Mohammed, Muamer N., Kohbalan, Moorthy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Institution of Engineering and Technology
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21527/ http://umpir.ump.edu.my/id/eprint/21527/1/Robust%20partitioning%20and%20indexing%20for%20irisbiometric%20database%20based%20on%20local%20features.pdf |
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