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...

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Main Authors: Selvamuthukumaran Shanmugam, Malmurugan Nagarajan
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
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author Selvamuthukumaran Shanmugam
Malmurugan Nagarajan
author_facet Selvamuthukumaran Shanmugam
Malmurugan Nagarajan
author_sort Selvamuthukumaran Shanmugam
collection DOAJ
description 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.
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spelling doaj.art-bf20b5ff7a094b2291cd6a5dd79d69152022-12-22T03:15:18ZengStefan cel Mare University of SuceavaJournal of Applied Computer Science & Mathematics2066-42732066-31292010-01-01484144Investigation on Optimization in Segmentation Phase of Iris RecognitionSelvamuthukumaran ShanmugamMalmurugan NagarajanIn 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.http://www.jacs.usv.ro/getpdf.php?issue=8&paperid=87IrisSecurityOptimizationSegmentationEdge DetectionSobel Operator
spellingShingle Selvamuthukumaran Shanmugam
Malmurugan Nagarajan
Investigation on Optimization in Segmentation Phase of Iris Recognition
Journal of Applied Computer Science & Mathematics
Iris
Security
Optimization
Segmentation
Edge Detection
Sobel Operator
title Investigation on Optimization in Segmentation Phase of Iris Recognition
title_full Investigation on Optimization in Segmentation Phase of Iris Recognition
title_fullStr Investigation on Optimization in Segmentation Phase of Iris Recognition
title_full_unstemmed Investigation on Optimization in Segmentation Phase of Iris Recognition
title_short Investigation on Optimization in Segmentation Phase of Iris Recognition
title_sort investigation on optimization in segmentation phase of iris recognition
topic Iris
Security
Optimization
Segmentation
Edge Detection
Sobel Operator
url http://www.jacs.usv.ro/getpdf.php?issue=8&paperid=87
work_keys_str_mv AT selvamuthukumaranshanmugam investigationonoptimizationinsegmentationphaseofirisrecognition
AT malmurugannagarajan investigationonoptimizationinsegmentationphaseofirisrecognition