Investigation on Optimization in Segmentation Phase of Iris Recognition
In a progressively more digital society, the demandfor secure identification has led to amplified development ofbiometric systems. Iris biometric systems are becoming widelyadopted and accepted as one of the most effective ways topositively identify people. In this paper, the Segmentation phasesof I...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2010-01-01
|
| Series: | Journal of Applied Computer Science & Mathematics |
| Subjects: | |
| Online Access: | http://www.jacs.usv.ro/getpdf.php?issue=8&paperid=87 |
| Summary: | In a progressively more digital society, the demandfor secure identification has led to amplified development ofbiometric systems. Iris biometric systems are becoming widelyadopted and accepted as one of the most effective ways topositively identify people. In this paper, the Segmentation phasesof Iris recognition has been examined. The performance of theSegmentation phase could be amplified by the proposedoptimization technique- Optimized Iris Segmentation using SobelEdge Detection. By the proposed method, the overall rank-onerecognition rate of 90% is being achieved which is much betterthan reported accuracies for iris recognition in the literature.Also the proposed approach makes the overall iris recognitionsystem performance by the improvement factor of 10 fold as well. |
|---|---|
| ISSN: | 2066-4273 2066-3129 |