Authors: David Walker; Shahram Latifi
Addresses: Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, 4505 S. Maryland Pkwy. Las Vegas, NV 89154, USA. ' Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, 4505 S. Maryland Pkwy. Las Vegas, NV 89154, USA
Abstract: Iris recognition is a well-studied biometric technique that is both reliable and convenient. The paper focuses on the hypothesis that due to the rich structure of the iris data, a portion of the iris data could render results comparable to those achieved by processing the full data. Experiments are conducted on partial iris data using Daugman|s algorithm. Using the phase orientation of Daugman|s algorithm, only half of the iris data was examined in a series of tests. Identical irises were identified using partial data in most cases. For those cases that a match could not be found, the similarity score for identical irises was still significantly higher than that for different irises. The results support the promise of making the iris recognition a covert technique with many applications in security.
Keywords: biometrics; Daugman algorithm; EER; FAR; feature encoding; FRR; partial iris recognition; security; equal error rate.
International Journal of Security and Networks, 2011 Vol.6 No.2/3, pp.147 - 152
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 11 Nov 2011 *