Grip-pattern recognition for smart guns
| Autor: | Kauffman, J.A., Bazen, A.M., Gerez, Sabih H., Veldhuis, Raymond N.J. |
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| Jazyk: | angličtina |
| Rok vydání: | 2003 |
| Předmět: | |
| Zdroj: | 14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC), 379-384 STARTPAGE=379;ENDPAGE=384;TITLE=14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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