MULTIMODAL BIOMETRIC AUTHENTICATION: SECURED ENCRYPTION OF IRIS USING FINGERPRINT ID


MULTIMODAL BIOMETRIC AUTHENTICATION: SECURED ENCRYPTION OF IRIS USING FINGERPRINT ID

Sheena S1 and Sheena Mathew2

1,2Department of Computer Science & Engineering, School of Engineering, Cochin University of Science & Technology, Kochi, India

ABSTRACT

Securing data storage using biometrics is the current trend. Different physiological as well as behavioral biometrics like face, fingerprint, iris, Gait, voice etc.. is used in providing security to the data. The proposed work explains about the biometric encryption technology which will securely generate a digital key using two biometric modalities. Iris is encrypted using Fingerprint ID of 32-bit as the key in this work. For encryption Blowfish algorithm is used and the encrypted template is stored in the database and one is given to the user. During the authentication time user input the template and the fingerprint. This template is then decrypted and verified with the original template taken from the database to check whether the user is genuine or an imposter. Hamming distance is used to measure the matching of the templates. CASIA Iris database is used for experimentation and fingerprint images read through the R303 - fingerprint reader.

KEYWORDS

Multi-modal Biometrics, Minutiae, Fingerprint, Iris, Feature Extraction, Encryption, Blowfish, Hamming Distance, FAR, FRR, EER

SOURCE URL

https://wireilla.com/papers/ijcis/V6N4/6416ijcis04.pdf

MORE DETAILS

https://wireilla.com/ijcis/index.html







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