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Di Martino et al., 2016 - Google Patents

A statistical approach to reliability estimation for fingerprint recognition

Di Martino et al., 2016

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Document ID
1830658053945470275
Author
Di Martino L
Fernandez A
von Gioi R
Lecumberry F
Preciozzi J
Publication year
Publication venue
2016 International Conference of the Biometrics Special Interest Group (BIOSIG)

External Links

Snippet

In this work we focus in the reliability estimation of biometric systems output. We explain why this is a very important problem when deploying a biometric system and face it using a statistical approach. In particular, we present a solution based in the a-contrario approach …
Continue reading at dl.gi.de (PDF) (other versions)

Classifications

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    • G06K9/6261Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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    • G06K9/6228Selecting the most significant subset of features
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    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00885Biometric patterns not provided for under G06K9/00006, G06K9/00154, G06K9/00335, G06K9/00362, G06K9/00597; Biometric specific functions not specific to the kind of biometric
    • GPHYSICS
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    • GPHYSICS
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    • G06K9/03Detection or correction of errors, e.g. by rescanning the pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

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