Search results for " core and delta points"

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Introducing Pseudo-Singularity Points for Efficient Fingerprints Classification and Recognition

2010

Fingerprint classification and matching are two key issues in automatic fingerprint recognition. Generally, fingerprint recognition is based on a set of relevant local characteristics, such as ridge ending and bifurcation (minutiae). Fingerprint classification is based on fingerprint global features, such as core and delta singularity points. Unfortunately, singularity points are not always present in a fingerprint image: the acquisition process is not ideal, so that the fingerprint is broken, or the fingerprint belongs to the arch class. In the above cases, pseudo-singularity-points will be detected and extracted to make possible fingerprint classification and matching. As result, fingerpr…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMinutiaeContextual image classificationbusiness.industryComputer scienceData_MISCELLANEOUSFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionFingerprint singularity regions classification matching algorithm core and delta points fingerprint recognition systems.Statistical classificationFingerprintData_GENERALComputer visionArtificial intelligencebusinessBlossom algorithm2010 International Conference on Complex, Intelligent and Software Intensive Systems
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