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Selecting Salient Features from Facial Components for Face Recognition

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Image and Video Technology (PSIVT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10799))

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Abstract

A robust facial recognition system aims at achieving an optimum accuracy when matching and comparing faces. The system meets an accepted degree of precision when it selects distinctive and salient features from the feature space. This work proposes an approach to select salient features from facial components for identification and verification, disregard of the face configuration. The proposed method employs two local feature descriptors, Scale Invariant Feature Transform (SIFT) and Speed-Up Robust Features (SURF). The descriptors primarily rely on the gradient computation of the facial components to extracts local features from the forehead, eyes, nose, cheeks, mouth and chin. The study evaluates the proposed technique from two face datasets, SCface and CMU-PIE and achieves an excellent performance. The results corroborate that facial components contain rich features and choosing only the prominent features from the feature space can improve the accuracy of facial recognition.

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Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa

    A. Gumede, S. Viriri & M. V. Gwetu

Authors
  1. A. Gumede
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  2. S. Viriri
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  3. M. V. Gwetu
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Corresponding author

Correspondence to S. Viriri .

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Editors and Affiliations

  1. National Institute of Informatics, Tokyo, Japan

    Shin'ichi Satoh

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Gumede, A., Viriri, S., Gwetu, M.V. (2018). Selecting Salient Features from Facial Components for Face Recognition. In: Satoh, S. (eds) Image and Video Technology. PSIVT 2017. Lecture Notes in Computer Science(), vol 10799. Springer, Cham. https://doi.org/10.1007/978-3-319-92753-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-92753-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92752-7

  • Online ISBN: 978-3-319-92753-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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