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 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.
| Original language | Undefined |
|---|---|
| Title of host publication | 14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC) |
| Place of Publication | Utrecht, The Netherlands |
| Publisher | STW |
| Pages | 379-384 |
| Number of pages | 6 |
| ISBN (Print) | 90-73461-39-1 |
| Publication status | Published - Nov 2003 |
| Event | 14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003 - Veldhoven, Netherlands Duration: 25 Nov 2003 → 27 Nov 2003 Conference number: 14 |
Publication series
| Name | |
|---|---|
| Publisher | STW Technology Foundation |
Workshop
| Workshop | 14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003 |
|---|---|
| Abbreviated title | ProRISC |
| Country | Netherlands |
| City | Veldhoven |
| Period | 25/11/03 → 27/11/03 |
Keywords
- METIS-215829
- SCS-Safety
- EWI-832
- IR-46699