Cited By
View all- Kizza JKizza J(2015)AuthenticationGuide to Computer Network Security10.1007/978-1-4471-6654-2_10(205-223)Online publication date: 21-Jan-2015
Secure fingerprint-based authentication for Lotus Notes®
Pages 48 - 51
Abstract
Fingerprints have been used to recognize people for several decades. The advent of low cost inkless fingerprint scanners coupled with extra compute power available in client workstations, biometrics in general and fingerprints in particular are being considered for many secure authentication applications. Lotus Notes is a groupware supporting email access and other activities such as calendar management included in it. In this paper, we describe the architecture of a system that integrates both the high security of Notes with conveniences of fingerprints for client authentication. Several design challenges have been addressed that have led to a successful system design and development.
References
[1]
Non-contact fingerprint scanner: http://www.ddsi-cpc.com/pages/products/cscan300.html.
[2]
R. M. Bolle, S. Pankanti, and Y. Yao. System and method for determining the quality of fingerprint images. US Patent number, US5963656, 1999.
[3]
IBM ITSO. Lotus Notes and Domino R5.0 security infrastructure revealed. IBM Corporation, 1999.
[4]
D. Maio and D. Maltoni. Direct gray-scale minutiae detection in fingerprints. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(1):27--40, January 1997.
[5]
B. Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, February 1994.
[6]
N. K. Ratha, S. Chen, and A. K. Jain. Adaptive flow orientation based texture extraction in finger print images. Pattern Recognition, 28(11):1657--1672, November 1995.
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October 2001
80 pages
Copyright © 2001 ACM.
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Published: 05 October 2001
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View all- Kizza JKizza J(2015)AuthenticationGuide to Computer Network Security10.1007/978-1-4471-6654-2_10(205-223)Online publication date: 21-Jan-2015
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