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New Set of Gegenbauer Moment Invariants for Pattern Recognition Applications

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Abstract

A new set of Gegenbauer moment invariants is proposed for pattern recognition applications. These moment invariants are expressed as a linear combination of geometric moment invariants where the later are invariants under translation, scaling and rotation of the image they describe. The invariance of Gegenbauer moments is tested by using different binary- and gray-level images. The obtained results show the accuracy of the new set of Gegenbauer moment invariants.

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Authors and Affiliations

  1. Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt

    Khalid M. Hosny

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  1. Khalid M. Hosny
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Correspondence to Khalid M. Hosny.

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Hosny, K.M. New Set of Gegenbauer Moment Invariants for Pattern Recognition Applications. Arab J Sci Eng 39, 7097–7107 (2014). https://doi.org/10.1007/s13369-014-1336-8

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  • DOI: https://doi.org/10.1007/s13369-014-1336-8

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