Name
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 likelihood-ratio classifier for Gaussian probability densities. First results indicate that it is feasible to use grip-pattern recognition for biometric verification. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1117/12.530967 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | DocType | Volume |
biometric verification,likelihood ratio,smart gun,grip-pattern recognition | Conference | 5306 |
ISSN | Citations | PageRank |
0277-786X | 12 | 0.94 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raymond N. J. Veldhuis | 1 | 439 | 54.16 |
| a m bazen | 2 | 590 | 47.26 |
| Joost A. Kauffman | 3 | 12 | 0.94 |
| Pieter Hartel | 4 | 1159 | 115.28 |