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Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 8 - Number 1 |
| Year of Publication: 2010 |
| Authors: Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur |
10.5120/1182-1630
|
Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur . Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification. International Journal of Computer Applications. 8, 1 ( October 2010), 1-5. DOI=10.5120/1182-1630
Abstract
This paper discusses about Enhanced iris recognition which is used to overcome some of the problem like to automate the recognition of the iris by reducing complexity and increasing algorithm speed. Various challenges are faced while working with the iris recognition system. Iris recognition systems make use of the uniqueness of the iris patterns to derive a unique mapping. Iris recognition, as a biometric method, outperforms others because of its high accuracy. Iris recognition also has the ability to handle very large populations at high speed. Mostly three stages are followed while working with iris system i.e. preprocessing, feature extraction and recognition stage. This paper presents an automated and novel iris recognition system where overall computational match speed is reduced (from iris preprocessing to the final stage of recognition) and hence makes system more reliable with accuracy of 99.38% and low FAR.
References
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