@book{e9ec81d102964a5aa7fb818051a61218,
title = "Biometric verification based on grip-pattern recognition",
abstract = "This 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 £ 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.",
keywords = "SCS-Cybersecurity, SCS-Safety, Likelihood Ratio, Biometric verification, METIS-217668, Grip pattern recognition, EWI-5782, IR-47327, smart gun",
author = "Veldhuis, {Raymond N.J.} and A.M. Bazen and J.A. Kauffman and Hartel, {Pieter H.}",
note = "Imported from CTIT",
year = "2004",
month = may,
language = "Undefined",
series = "CTIT technical report series",
publisher = "Centre for Telematics and Information Technology (CTIT)",
number = "TR-CTIT-04-22",
address = "Netherlands",
}