Grip-pattern recognition: applied to a smart gun


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Shang, Xiaoxin (2008) Grip-pattern recognition: applied to a smart gun. thesis.

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Abstract:The verification performance of a biometric recognition system based on grip patterns, as part of a smart gun for use by the police ocers, has been investigated. The biometric features are extracted from a two-dimensional pattern of the pressure, exerted on the grip of a gun by the hand of a person holding it. Such a grip-pattern verication system is interesting, particularly because it is well personalized. For this application a very low false-rejection rate is required, rendering it highly unlikely that the rightful user is not able to fire the gun. We have set the false-rejection rate for verification as below 10E-04, the official requirement of the failure probability of a police gun in the Netherlands. Under this precondition, the false-acceptance rate has to be minimized.
Item Type:Thesis
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Link to this item:http://purl.utwente.nl/publications/60347
Official URL:http://dx.doi.org/10.3990/1.9789036527323
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