The International Arab Journal of Information Technology (IAJIT)


Finger Knuckle Print Authentication Using AES

  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 too l based on the anatomical and behavioural character istics of the human beings in order to prove their authentication. Secu rity 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 securi ty than the password. Finger Knuckle Print (FKP) is a unique biometric an atomical feature for an individual person. Biometric systems are suffered to a variety of attacks. In order to avoid these at tacks, the biometric combined cryptography is the m ajor 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 algo rithm and secret hash value also generated using Secure Hash Algorithm (SHA) function, which is encrypted with the FKP ext racted key points by Symmetric Advanced Encryption Standard (AES) algorithm. The key points extraction of FKP was der ived using Scale Invariant Feature Transform (SIFT) . Hence encrypted secret hash value secures biometric data and the se cret value. The hash function protects the biometric data from malicious tampering, and it provides error checking functiona lity.   

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[31] Zhang L., Zhang L., Zhang D., and Zhu H., Online Finger-Knuckle-Print Verification for Personal Authentication, Pattern Recognition, vol. 43, no. 7, pp. 2560-2571, 2010. Muthukumar Arunachalam received his BE (ECE) and ME (Applied Electronics) degrees from Madurai Kamaraj University and Anna University in 2004 and 2006 respectively. Currently, he is pursuing a PhD in ECE at Kalasalingam University, India. He is Assistant Professor of Electronics and Communication Engineering, Kalasalingam University, Krishnankoil- 626126, India, where he has been since July 2007. H is area of interest is image processing, signal proces sing, biometrics and wireless communication. He is a life member of ISTE. Kannan Subramanian received his BE., ME., and PhD degrees from Madurai Kamaraj University, India in 1991, 1998 and 2005 respectively. He is Professor and Head of Electrical and Electronics Engineering, Kalasalingam University, Krishnankoil-626126, India, where he ha s been since July 2000. He was a visiting scholar in Iowa State University, USA (October 2006 September 2007) supported by the Department of Science and Technology, Government of India with BOYSCAST Fellowship. He is a Sr. Member of IEEE, Fellow of I E (I), Sr. Member in CSI, Fellow in IETE, Life member SSI and Life member of ISTE.