Sridevi, Dr.R and Shobana, P (2020) Multimodal Security of Iris and Fingerprint with Bloom Filters. Multimodal Security of Iris and Fingerprint with Bloom Filters, 8 (10). pp. 402-410. ISSN 0776-3808

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Abstract

The standard methods of identification such as PIN Numbers (Personal
Identification Number), Passwords, smart cards can be easily stolen and can be misused
easily. To overcome this, biometric is introduced, as it will be unique to each individual.
In this modern world, security has become a serious threat. So many biometric securities
have also come up to secure. In biometrics, the iris has become more popular and widely
used biometric because of its stability. This iris is researched for the past two decades
along with computer technology. This paper will tell about basic concepts of iris,
fingerprint, and securing iris with Cancelable Biometrics. Often we get iris templates and
store in server or database. There is a chance of losing the data as well as security is a big
question here. Here we are proposing a system for protecting iris templates using bloom
filters with feature fusion of iris with fingerprint to provide security. Bloom filters are a
useful asset in the fields of computer science. In feature-level fusion, the function units
originating from more than one biometric assets are consolidated into a single feature set
by the appliance of acceptable feature standardization, transformation, and reduction
schemes. We can combine bloom filters with feature level fusion for more secure iris
templates.

Item Type: Article
Uncontrolled Keywords: Iris, Bloom filters, Feature level fusion, Biometric security
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 14 Aug 2024 08:15
Last Modified: 14 Aug 2024 08:15
URI: https://ir.psgcas.ac.in/id/eprint/2159

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