Integration of Smart Card and Gabor Filter Method based Fingerprint Matching for Faster Verification

Kumar, P.Y.; Ganesh, Talari

doi:10.1109/indcon.2005.1590226

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Yet as an intermediation technology, the relevant organisations must have biometric card readers. Biometric application increase security and user convenience, and could control access in tertiary institutions (Kumar & Ganesh, 2005).…”

Section: Smart Card Applicationsmentioning

confidence: 99%

Student Perceptions and Adoption of University Smart Card Systems

Murphy

Lee

Swinger

2011

International Journal of Technology and Human Interaction

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This study investigated student adoption of university campus card (UCC) applications. A review of smart card, technology adoption and Unified Theory of Acceptance and Use of Technology (UTAUT) literature led to three focus groups and a survey of student perceptions and attitudes towards the university’s campus card. Perceptions of 17 UCC components differed significantly across four student variables – international versus domestic, willingness to load funds, gender, and university level – supporting and extending UTAUT. Willingness to load funds on their UCC differed significantly across 16 out of 17 components, followed by domestic versus overseas students differing on 14 components, university level differing on 13 components and gender on 10. Overall, students reported that extra UCC features would enhance the university’s image, improve their student experience, and encourage them to use UCCs. The results and managerial implications can help universities select and prioritise UCC functions for campus adoption and implementation.

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Section: Smart Card Applicationsmentioning

confidence: 99%

Student Perceptions and Adoption of University Smart Card Systems

Murphy

Lee

Swinger

2011

International Journal of Technology and Human Interaction

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“…The advantages and disadvantages of each proposed technique are then discussed. Finally, in [15] the authors present a work trying to integrate the smartcard and Gabor filters in a fingerprint matching task. A set of Gabor filters is used to capture both local and global fingerprint characteristics.…”

Section: Related Workmentioning

confidence: 99%

Embedded access points for trusted data and resources access in HPC systems

et al. 2010

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Biometric authentication systems represent a valid alternative to the conventional username-password based approach for user authentication. However, authentication systems composed of a biometric reader, a smartcard reader, and a networked workstation which perform user authentication via software algorithms have been found to be vulnerable in two areas: firstly in their communication channels between readers and workstation (communication attacks) and secondly through their processing algorithms and/or matching results overriding (replay attacks, confidentiality and integrity threats related to the stored information of the networked workstation). In this paper, a full hardware access point for HPC environments is proposed. The access point is composed of a fingerprint scanner, a smartcard reader, and a hardware core for fingerprint processing and matching. The hardware processing core can be described as a Handel-C algorithmic-like hardware programming language and prototyped via a Field Programmable Gate Array (FPGA) based board. The known indexes False Acceptance Rate (FAR) and False Rejection Rate (FRR) have been used to test the prototype authentication accuracy. Experimental trials conducted on several fingerprint DBs show that the hardware prototype achieves a working point with FAR=1.07% and FRR=8.33% on a proprietary DB which was acquired via a capacitive scanner, a working point with FAR=0.66% and FRR=6.13% on a proprietary DB which was acquired via an optical scanner, and a working point with FAR=1.52% and FRR=9.64% on the official FVC2002-DB2B database. In the best case scenario (depending on fingerprint image size), the execution time of the proposed recognizer is 183.32 ms. © 2010 Springer Science+Business Media, LLC

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Lightweight and Secure Face-based Active Authentication for Mobile Users

Keykhaie¹,

Pierre²

2021

IEEE Trans. on Mobile Comput.

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Integration of Smart Card and Gabor Filter Method based Fingerprint Matching for Faster Verification

Cited by 4 publications

References 2 publications

Student Perceptions and Adoption of University Smart Card Systems

Student Perceptions and Adoption of University Smart Card Systems

Embedded access points for trusted data and resources access in HPC systems

Lightweight and Secure Face-based Active Authentication for Mobile Users

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