Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29416


Select areas to restrict search in scientific publication database:
10863
Similarity Measure Functions for Strategy-Based Biometrics
Abstract:
Functioning of a biometric system in large part depends on the performance of the similarity measure function. Frequently a generalized similarity distance measure function such as Euclidian distance or Mahalanobis distance is applied to the task of matching biometric feature vectors. However, often accuracy of a biometric system can be greatly improved by designing a customized matching algorithm optimized for a particular biometric application. In this paper we propose a tailored similarity measure function for behavioral biometric systems based on the expert knowledge of the feature level data in the domain. We compare performance of a proposed matching algorithm to that of other well known similarity distance functions and demonstrate its superiority with respect to the chosen domain.
Digital Object Identifier (DOI):

References:

[1] M. Badizadegan, Texas Hold'em Flop Types, Goldstar Books, Los Angeles, California, 1999.
[2] P. M. Baggenstoss, Class-specific classifier: avoiding the curse of dimensionality, Aerospace and Electronic Systems Magazine, Jan 2004, pp. 37- 52.
[3] C. Barral, J. Coron and D. Naccache, Externalized Fingerprint Matching, Cryptology ePrint Archive, 2004.
[4] H. Eidenberger, Evaluation and Analysis of Similarity Measures for Content-based Visual Information Retrieval, ACM Multimedia Systems Journal, 2006.
[5] A. K. Jain, R. Bolle and S. Pankanti, BIOMETRICS: Personal Identification in Networked Society, Kluwer Academic Publishers, 1999.
[6] T. Kinnunen and I. ainen, Class-discriminative weighted distortion measure for VQ-based speaker identification, In Proc. Joint IAPR International Workshop on Statistical Pattern Recognition, Windsor, Canada, August 6-9, 2002, pp. 681-688.
[7] K. Lee and H. Park, A New Similarity Measure Based on Intraclass Statistics for Biometric Systems, ETRI Journal, Oct. 2003, pp. 401-406.
[8] H. Lei, S. Palla and V. Govindaraju, ER2: An Intuitive Similarity Measure for On-Line Signature Verification, IWFHR '04: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), IEEE Computer Society, 2004, pp. 191--195.
[9] O. Mut and M. Gökt├╝rk, Improved Weighted Matching for Speaker Recognition, The Third World Enformatika Conference, WEC'05, Istanbul, Turkey, April 27-29, 2005, pp. 229-231.
[10] M. Neuhaus and H. Bunke, An error-tolerant approximate matching algorithm for attributed planar graphs and its application to fingerprint classification, Proc. Joint IAPR Int. Workshops Structural, Syntactic, and Statistical Pattern Recognition, 2004, pp. 180 -189.
[11] Poker-edge.com, Stats and Analysis, Available at: http://www.pokeredge. com/stats.php, Retrieved June 7, 2006.
[12] A. Schwaighofer, Sorting it out: Machine learning and fingerprints, Telematik, 2002, pp. 18-20.
[13] A. Sturn, Cluster Analysis for Large Scale Gene Expression Studies, Masters Thesis. The Institute for Genomic Research, Rockville, Maryland, USA, December 20, 2000.
[14] Wikipedia, Mahalanobis Distance, Available at: http://en.wikipedia.org/wiki/Mahalanobis_distance, Retrieved August 22, 2006.
[15] R. V. Yampolskiy, Behavior Based Identification of Network Intruders, 19th Annual CSE Graduate Conference (Grad-Conf2006), Buffalo, NY, February 24, 2006.
[16] R. V. Yampolskiy and V. Govindaraju, Use of Behavioral Biometrics in Intrusion Detection and Online Gaming, Biometric Technology for Human Identification III. SPIE Defense and Security Symposium, Orlando, Florida, 17-22 April 2006.
[17] S. Yang and I. Verbauwhede, A Secure Fingerprint Matching Technique, In Proc. ACM Workshop on Biometrics Methods and Applications, 2003, pp. 89-94.
Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007