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Multi-Modal (Hybrid) More Efficient and Highly Secured Enhanced Hand Geometry Authentication using 3 Steps Authentication by Means of Biometrics, Steganography and Encryption

Nader A.Rahman Mohamed

Abstract


“Biometrics” is the science, which is used to verify the identity of the persons through either behavioral traits or physical characteristics. This area has gained great importance in maintaining the security of the places that require high security accuracy. Hand geometry is considered one of the biometrics, which derived its reputation from the ease of use and the acceptance of many people to use it. Hand geometry based biometric systems are gaining acceptance in low to medium security applications. Hand biometrics is extensively used for personal authentication. The widespread dissemination of verification systems using biometrics and continuous attempts to break the security of these systems, such as the use of fingerprints rubber to break the security systems that use fingerprint, or use a voice recorder to break the security systems that use voice tag, and so on. Although the efficiency of biometrics in identification of people is very accurate and highly secured, but still the data concerning it is not a secret, and if it is compromised, it would compromise the integrity of the system where protection is required. Protecting biometric data has become an important issue, so that it cannot be misused by attackers. In order to increase security of biometric data there are different methods in which digital steganography could be widely accepted. Steganography is defined as the science of hiding or embedding information in a transmission medium in a way to be undetectable by observers. To address these issues, this paper proposes a novel encryption method with password protection based on an enhanced version of multi-modal hand geometry authentication using three authentication layers based on hand geometry verification, digital steganography, and password encryption.

Keywords


Biometrics, hand geometry authentication, digital steganography

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References


Jain AK, Bolle R, Pankanti S. (Eds). Biometrics Personal Identification in Networked Society. Kluwer Academic Publishers; 1999.

Sonka Milan, Hlavac Vaclav, Boyle Roger. Image Processing, Analysis and Machine Vision. Chapman & Hall; 1993.

Disappearing Cryptography. Information Hiding: Steganography & Watermarking, 3rd Edn. Peter Wayner, Elsevier; 2009.

Wikipedia: Steganography “http://en.wikipedia.org/wiki/Steganography”

Nader A. Rahman. A prototype of automatic hand geometry verification system. MSc. Thesis. Systems and Biomedical Department, Faculty of Engineering, Cairo University, 2002.

Jang K, Chin T. One-pass parallel thinning: Analysis, properties, and quantitative evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence. Nov. 1992; 14(11).


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