@inproceedings{7a11da8f89b947418a243fb9a41b0717,
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 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.",
keywords = "SCS-Cybersecurity, SCS-Safety, EWI-785, smart gun, Likelihood Ratio, Biometric verification, Grip pattern recognition, IR-48502, METIS-220030",
author = "Veldhuis, {Raymond N.J.} and A.M. Bazen and J.A. Kauffman and Hartel, {Pieter H.}",
note = "Imported from DIES; IS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents ; Conference date: 01-01-2004 Through 01-01-2004",
year = "2004",
month = jan,
doi = "10.1117/12.530967",
language = "Undefined",
isbn = "0-8194-5209-2",
publisher = "SPIE",
pages = "634--641",
editor = "Delp, {Edward J.} and Wong, {Ping W.}",
booktitle = "IS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents",
address = "United States",
}