Improved biohashing method based on most intensive histogram block location

Munalih, Ahmad Syarif and Ong, Thian Song and Tee, Connie (2014) Improved biohashing method based on most intensive histogram block location. In: Neural Information Processing. Lecture Notes in Computer Science . Springer International Publishing, pp. 644-652. ISBN 978-3-319-12643-2

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Abstract

Biohashing is a promising cancellable biometrics method. However, it suffers from a problem known as ‘stolen token scenario’. The performance of the biometric system drops significantly if the Biohashing private token is stolen. To solve this problem, this paper proposes a new method termed as Most Intensive Histogram Block Location (MIBL) to extract additional information of the p-th best gradient magnitude. Experimental analysis shows that the proposed method is able to solve the stolen token problem with error equal rates as low as 1.46% and 7.27% when the stolen token scenario occurred for both FVC2002 DB1 and DB2 respectively.

Item Type: Book Section
Additional Information: Book Subtitle: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 23 Jan 2015 06:23
Last Modified: 23 Jan 2015 06:23
URI: http://shdl.mmu.edu.my/id/eprint/5944

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