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Kauffman, J.A. and Bazen, A.M. and Gerez, S.H. and Veldhuis, R.N.J.
(2003)
Grip-pattern recognition for smart guns.
In: 14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands.
pp. 379-384.
Technology Foundation STW.
ISBN 90-73461-39-1
Full text available as:
AbstractThis paper describes the design, implementation and evaluation of a user-verification system for a smart gun, which is based on grip-pattern recognition. An existing pressure sensor consisting of an array of 44 x 44 piezoresistive elements has been used. An interface has been developed to acquire pressure images from the sensor. The values of the pixels in the pressure-pattern images are used as inputs for a verification algorithm, which is currently implemented in software on a computer. The verification algorithm is based on a likelihood-ratio classifier for Gaussian probability densities. First results indicate that it is possible to use grip-pattern recognition for biometric verification, when allowing a certain false-rejection and false-acceptance rate. However, more measurements are needed to give a more reliable indication of the systems performance.
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