A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning

X. Dacheng, L. Bailiang, Antinus Nijholt

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    4 Citations (Scopus)
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    A PCNNs-based square-and-triangle-template method for binary fingerprint image thinning is proposed. The algorithm is iterative, in which a combined sequential and parallel processing is employed to accelerate execution. When a neuron satisfies the square template, the pixel corresponding to this neuron will be noted during the process and be deleted until the end of the iteration; on the other hand, if a neuron meets a triangle template, it will be removed directly. In addition, this proposed algorithm can be effective for fingerprint thinning without considering the direction. The results showed that, with combined sequential and parallel conditions for border pixels removal, the algorithm could not only speed up the fingerprint thinning process, but also be applied to other common images. Furthermore, this algorithm might be applied to fingerprint identification systems to save the time for identifying and eliminating spurious minutiae
    Original languageUndefined
    Title of host publication8th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2009)
    EditorsJ. Kacprzyk
    Place of PublicationLos Alamitos, CA, USA
    Number of pages5
    ISBN (Print)978-0-7695-3641-5
    Publication statusPublished - 1 Jun 2009
    Event8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009 - Pine City Hotel , Shanghai, China
    Duration: 1 Jun 20093 Jun 2009
    Conference number: 8

    Publication series

    PublisherIEEE Computer Society Press


    Conference8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009
    Abbreviated titleICIS
    Internet address


    • EWI-15141
    • HMI-CI: Computational Intelligence
    • PCNN
    • fingerprint image thinning
    • METIS-263750
    • triangle template
    • square template
    • IR-67697
    • iteration

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