A New Method for Fast Computation of Moments Based on 8-neighbor Chain CodeApplied to 2-D Objects Recognition

Guangrong Ji, G.Y. Wang, Z. Houkes, Bing Zheng, Yan-ping Han

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    Abstract

    2D moment invariants have been successfully applied in pattern recognition tasks. The main difficulty of using moment invariants is the computational burden. To improve the algorithm of moments computation through an iterative method, an approach for fast computation of moments based on the 8-neighbor chain code is proposed in this paper. Then artificial neural networks are applied for 2D shape recognition with moment invariants. Compared with the method of polygonal approximation, this approach shows higher accuracy in shape representation and faster recognition speed in experiments
    Original languageUndefined
    Title of host publicationProceedings of the IEEE ICIPS'97, vol.2
    Place of PublicationBeijing, China
    PublisherIEEE
    Pages974-978
    Number of pages5
    ISBN (Print)9780780342538
    DOIs
    Publication statusPublished - 10 Oct 1997
    EventIEEE International Conference on Intelligent Processing Systems, ICIPS '97 - Beijing, China
    Duration: 28 Oct 199731 Oct 1997

    Publication series

    Name
    PublisherIEEE Press
    Volume2

    Conference

    ConferenceIEEE International Conference on Intelligent Processing Systems, ICIPS '97
    Period28/10/9731/10/97
    Other28-31 Oct. 1997

    Keywords

    • IR-16570
    • METIS-113455

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