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Shang, X. and Veldhuis, R.N.J.
(2008)
Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison.
In: Biometrics: Theory, Applications and BTAS 2008. 2nd IEEE International Conference on Biometrics: Theory Applications and Systems, 2008., 29 Sept - 1 Oct 2008, Washington, USA.
pp. 1-5.
IEEE Computer Society.
ISBN 978-1-4244-2729-1
Full text available as:
Official URL: http://dx.doi.org/10.1109/BTAS.2008.4699338  AbstractIn our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.
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