Personal authenticator on the basis of two-factors: Palmprint features and tokenized random data


Pang, Ying Han and Ngo, David Chek Ling and Teoh, Andrew Ben Jin (2004) Personal authenticator on the basis of two-factors: Palmprint features and tokenized random data. Lecture Notes in Computer Science, 3339. pp. 227-236. ISSN 0302-9743

[img] Text
Personal Authenticator on the Basis of Two-Factors Palmprint Features and Tokenized Random Data.pdf
Restricted to Repository staff only

Download (290kB)


This paper presents a novel two-factor authenticator which hashes tokenized random data and moment based palmprint features to produce a set of private binary string, coined as Discrete-Hashing code. This novel technique requires two factors (random number + authorized biometrics) credentials in order to access the authentication system. Absence of either factor will just handicap the progress of authentication. Besides that, Discrete-Hashing also possesses high discriminatory power, with highly correlated bit strings for intra-class data. Experimental results show that this two-factor authenticator surpasses the classic biometric authenticator in terms of verification rate. Our proposed approach provides a clear separation between genuine and imposter population distributions. This implies that Discrete-Hashing technique allows achievement of zero False Accept Rate (FAR) without jeopardizing the False Reject Rate (FRR) performance, which is hardly possible to conventional biometric systems.

Item Type: Article
Additional Information: Book Title: AI 2004: Advances in Artificial Intelligence Book Subtitle: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004. Proceedings ISBN: 978-3-540-24059-4
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 22 Aug 2011 06:46
Last Modified: 05 Jan 2017 03:41


Downloads per month over past year

View ItemEdit (login required)