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A Face Recognition System Based on Local Feature Characterization

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Advanced Studies in Biometrics

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3161))

Abstract

A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting.

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References

  1. Campadelli, P., Cusmai, F., Lanzarotti, R.: A color based method for face detection (2003) (submitted)

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  2. Campadelli, P., Lanzarotti, R.: Localization of facial features and fiducial points. In: Processings of the International Conference Visualisation, Imaging and image Processing (VIIP 2002), Malaga, Spagna, pp. 491–495 (2002)

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Author information

Authors and Affiliations

  1. DSI – Università degli Studi di Milano, Via Comelico, 39/41, 20135, Milano, Italy

    Paola Campadelli & Raffaella Lanzarotti

Authors
  1. Paola Campadelli
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  2. Raffaella Lanzarotti
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Editor information

Editors and Affiliations

  1. University of Sassari, 07041, Alghero, Italy

    Massimo Tistarelli

  2. School of Information Science, Computer and Electrical Engineering (IDE), Halmstad University, Box 823, SE-301 18, Halmstad

    Josef Bigun

  3. DEIR - University of Sassari, Sassari, Italy

    Enrico Grosso

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© 2005 Springer-Verlag Berlin Heidelberg

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Campadelli, P., Lanzarotti, R. (2005). A Face Recognition System Based on Local Feature Characterization. In: Tistarelli, M., Bigun, J., Grosso, E. (eds) Advanced Studies in Biometrics. Lecture Notes in Computer Science, vol 3161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11493648_10

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  • DOI: https://doi.org/10.1007/11493648_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26204-6

  • Online ISBN: 978-3-540-28638-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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