Finger knuckle print authentication using AES and K-means algorithm
Joint Authors
Arunachalam, Muthukumar
Subramanian, Kannan
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 6A(s) (31 Dec. 2015), pp.642-649, 8 p.
Publisher
Publication Date
2015-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In general, the identification and verification are done by passwords, PIN number, etc., which can be easily cracked by hackers.
Biometrics is a powerful and unique tool based on the anatomical and behavioural characteristics of the human beings in order to prove their authentication.
Security is the most important thing in the world.
Password is used for security, but it does not provide the effective security.
So biometrics can be used to provide the higher security than the password.
Finger Knuckle Print (FKP) is a unique biometric anatomical feature for an individual person.
Biometric systems are suffered to a variety of attacks.
In order to avoid these attacks, the biometric combined cryptography is the major tool.
Bio-crypto system is to provide the authentication as well as the confidentiality of the data.
This paper presents biometric key, which is generated from key points of FKP using k-means algorithm and secret hash value also generated using Secure Hash Algorithm (SHA) function, which is encrypted with the FKP extracted key points by Symmetric Advanced Encryption Standard (AES) algorithm.
The key points extraction of FKP was derived using Scale Invariant Feature Transform (SIFT).
Hence encrypted secret hash value secures biometric data and the secret value.
The hash function protects the biometric data from malicious tampering, and it provides error checking functionality.
American Psychological Association (APA)
Arunachalam, Muthukumar& Subramanian, Kannan. 2015. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology،Vol. 12, no. 6A(s), pp.642-649.
https://search.emarefa.net/detail/BIM-654925
Modern Language Association (MLA)
Arunachalam, Muthukumar& Subramanian, Kannan. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology Vol. 12, no. 6A (Dec. 2015), pp.642-649.
https://search.emarefa.net/detail/BIM-654925
American Medical Association (AMA)
Arunachalam, Muthukumar& Subramanian, Kannan. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6A(s), pp.642-649.
https://search.emarefa.net/detail/BIM-654925
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p.649
Record ID
BIM-654925