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This paper proposes a novel contactless biometrie system for multisampling hand recognition. We include a novel acquisition device for contactless hand recognition and a study about the multi-sample acquisition as a way to improve the performance. Popular features extraction methods for hand geometry and palmprint are studied and a database of 100 people with more than 2000 hand is employed for the...
Recently, a considerable amount of research has been focused on inverse biometrics, that is, regenerating the original biometric sample from its template. In this work, the first reconstruction approach to recover hand geometry samples from their feature vectors is proposed. Experiments are carried out on the publicly available GPDS Hand DB, where the method has shown a remarkable performance, after...
Identification of people through hand based biometry has been lately researched by different scientific groups due to its simplicity, reliability, and acceptability. In the very early years several works based on different acquisition devices or procedures has been presented. In this paper we focused the proposal on a property of the hand shape biometric devices that has been barely studied: the interoperability...
This paper presents a contactless hand based biometric identification system using geometric and palm features. Hand images are acquired using two commercial webcams with 1200×1600 pixel resolution which are refered to as the “IR” and “visible” webcams. The IR webcam has been modified by exchanging the IR filter with a visible filter lens and reducing the gain and exposure time to improve the hand...
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