Sparsity-Based Iris Classification Using Iris Fiber Structures

Nalla, P R and Nalla, S and C, Krishna Mohan (2015) Sparsity-Based Iris Classification Using Iris Fiber Structures. In: International Conference of the Biometrics Special Interest Group (BIOSIG), 9-11 September, 2015, Darmstadt, Germany.

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As there is a growing demand for biometrics usage in e-Society, the biometric recognition system faces the scalability issue as the number of people to be enrolled into the system runs into billions. In this paper, we propose an approach for iris classification using three different iris classes based on iris fiber structures, namely, stream, flower, jewel and shaker for faster retrieval of identities in large scale biometric system. A sparsity based on-line dictionary learning (ODL) algorithm is used in the proposed classification approach where dictionaries are developed for each class using log-Gabor wavelet features. Also, a method for iris adjudication process is illustrated using the iris classification to reduce the search space. The efficacy of the proposed classification approach is demonstrated on the standard UPOL iris database.

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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Accuracy, Dictionaries, Iris, Iris recognition, Streaming media, Training
Subjects: Computer science > Special computer methods
Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 16 Nov 2015 06:14
Last Modified: 01 Sep 2017 09:21
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