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Veldhuis, R.N.J. and Bazen, A.M. and Kauffman, J.A. and Hartel, P.H.
(2004)
Biometric verification based on grip-pattern recognition.
(Invited)
In: IS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents, San Jose, California.
pp. 634-641.
SPIE -- The Int. Society for Optical Engineering.
ISBN 0-8194-5209-2
Full text available as:
Official URL: http://dx.doi.org/10.1117/12.530967 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 is used to measure the grip pattern. 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 PC. The verification algorithm is based on a likelihoodratio classifier for Gaussian probability densities. First results indicate that it is feasible to use grip-pattern recognition for biometric verification.
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