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Muñoz-Briseño et al., 2014 - Google Patents

Using reference point as feature for fingerprint indexing

Muñoz-Briseño et al., 2014

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Document ID
17285227453105826855
Author
Muñoz-Briseño A
Gago-Alonso A
Hernández-Palancar J
Publication year
Publication venue
Iberoamerican Congress on Pattern Recognition

External Links

Snippet

This work introduces a new feature based on relative minutia position regarding a reference point. The introduction of this feature, allows the elimination of false matches generated by minutiae. Moreover, a novel algorithm for detecting the reference point in fingerprints is …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/00006Acquiring or recognising fingerprints or palmprints
    • G06K9/00087Matching; Classification
    • G06K9/00093Matching features related to minutiae and pores
    • GPHYSICS
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    • G06K9/00006Acquiring or recognising fingerprints or palmprints
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    • G06K9/00073Extracting features related to minutiae and pores
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    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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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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    • G06K9/62Methods or arrangements for recognition using electronic means
    • 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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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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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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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00597Acquiring or recognising eyes, e.g. iris verification

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