Fourier spectral of PalmCode as descriptor for palmprint recognition

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    Abstract

    Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013)
    EditorsMeiru Mu
    PublisherSCITEPRESS
    Pages22-32
    Number of pages11
    ISBN (Print)978-989-8565-41-9
    DOIs
    Publication statusPublished - Feb 2013
    Event2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 - Barcelona, Spain
    Duration: 15 Feb 201318 Feb 2013
    Conference number: 2

    Conference

    Conference2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
    Abbreviated titleICPRAM
    Country/TerritorySpain
    CityBarcelona
    Period15/02/1318/02/13

    Keywords

    • SCS-Safety
    • Gabor filtering
    • Palm code
    • Fourier spectral
    • Horizontal and vertical 2DPCA
    • Palmprint recognition

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