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.
|Place of Publication||Enschede|
|Publisher||Centre for Telematics and Information Technology (CTIT)|
|Number of pages||12|
|Publication status||Published - May 2004|
|Name||CTIT technical report series|
|Publisher||University of Twente, Centre for Telematics and Information Technology (CTIT)|
- Likelihood Ratio
- Biometric verification
- Grip pattern recognition
- smart gun
Veldhuis, R. N. J., Bazen, A. M., Kauffman, J. A., & Hartel, P. H. (2004). Biometric verification based on grip-pattern recognition. (CTIT technical report series; No. TR-CTIT-04-22). Enschede: Centre for Telematics and Information Technology (CTIT).