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Pattern Recognition Applications and Methods pp 3–16Cite as

A Two-Part Approach to Face Recognition: Generalized Hough Transform and Image Descriptors

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 318))

Abstract

This research considers a two-part approach to the problem of face recognition. The first part, based on a variant of the generalized Hough transform, takes a global view of the matter, specifically the edges that make up a sketch of a face. The second component, on the other hand, examines the local features of a given face using a novel image descriptor, known as the gradient distance descriptor. The proposed technique performs well in testing. Moreover, this method does not require any training and may be extended to general object recognition.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada

    Marian Moise, Xue Dong Yang & Richard Dosselmann

Authors
  1. Marian Moise
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  2. Xue Dong Yang
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  3. Richard Dosselmann
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Corresponding author

Correspondence to Marian Moise .

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  2. Department of Computer Science, Sapienza University of Rome, Roma, Italy

    Maria De Marsico

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Moise, M., Yang, X.D., Dosselmann, R. (2015). A Two-Part Approach to Face Recognition: Generalized Hough Transform and Image Descriptors. In: Fred, A., De Marsico, M. (eds) Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, vol 318. Springer, Cham. https://doi.org/10.1007/978-3-319-12610-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-12610-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12609-8

  • Online ISBN: 978-3-319-12610-4

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