“Enhancing Iris Scanning Using Visual Cryptography”
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: Biometric technique consists of uniquely identifying person based on their physical characteristic orbehavioral characteristic. It is mainly used for authentication. Iris sacnning is one of the most secure techniquesamong all biometrics because of its uniqueness and stability i.e. no two persons in the world can have same iris.For authentication, the feature template in the database and the user template should be the same. Storing thetemplate in the database securely is not a secure approach, because it can be stolen. To deal with this securityissue, in our paper a new method for securely storing the template in the database is proposed.Visual Cryptography (VC) concept is used in our proposed system. Using Visual Cryptography concept scannedimage is divided into different parts i.e. called as shares; these shares are stored in the database. The proposedVisual Cryptography will generate meaningful shares which overcomes the problem in traditional methods. Inour proposed system, we present a powerful approach of iris recognition. It uses an improved circular Houghtransform to detect the inner boundary.
Authors and Affiliations
Anuja Pawar, Trupti Kumbhare, Pradnya Murkute, Prof. Sneha kallapur
Keywords
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