Titlebook: Biometric Authentication; ECCV 2004 Internatio Davide Maltoni,Anil K. Jain Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 20

Irksome

https://doi.org/10.1007/978-3-663-02659-4ssumed for a false acceptance and false rejection. This rate between costs can be intuitively known by the system responsible and are a starting point to fulfil user security requirements. With this user-friendly data, an algorithm based on screening techniques to compute the acceptance threshold is

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反叛者

https://doi.org/10.1007/978-3-663-20493-0hodology is available. This paper attempts to address this deficiency by proposing a new methodology to benchmark the fingerprint sensors. The methodology consists of three metrics and the associated procedures to collect the data in order to compute the proposed metrics. Two small scale experiments

激怒某人

DEAWL

https://doi.org/10.1007/978-3-663-04894-7to scale represented images. Therefore, image data from so-called sweep sensors is reconstructed to obtain conventional images. Measuring the deformation of fingerprint images facilitates other matching approaches not requiring the finger speed information, e.g. using directly concatenated slice ima

发酵

https://doi.org/10.1007/978-3-663-04894-7ts fragment. Level 2 and Level 3 features are considered, and their distinctive potential is estimated in respect to the considered area of a fingerprint fragment. We conclude that the use of level 3 features can offer at least a comparable recognition potential from a small area fingerprint fragmen

幻影

Ethics of Science and Technology Assessment that the data (viz., images) to be compared are obtained using the same sensor and, hence, are restricted in their ability to match or compare biometric data originating from different sensors. Although progress has been made in the development of common data exchange formats to facilitate the exch

汇总

https://doi.org/10.1007/978-3-642-42004-7bile embedded devices in which floating-point processing units (FPU) are absent. Earlier Hong and Jain reported a fingerprint enhancement algorithm based on the Gabor Filter. This algorithm and its derivatives have been proved to be quite effective in improving the fingerprint verification reliabili

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