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On the Effects of Image Alterations on Face Recognition Accuracy

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Face Recognition Across the Imaging Spectrum

Abstract

Face recognition in controlled environments is nowadays considered rather reliable, and if face is acquired in proper conditions, a good accuracy level can be achieved by state-of-the-art systems. However, we show that, even under these desirable conditions, some intentional or unintentional face image alterations can significantly affect the recognition performance. In particular, in scenarios where the user template is created from printed photographs rather than from images acquired live during enrollment (e.g., identity documents ), digital image alterations can severely affect the recognition results. In this chapter, we analyze both the effects of such alterations on face recognition algorithms and the human capabilities to deal with altered images.

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Acknowledgment

The work leading to these results has received funding from the European Community’s Framework Programme (FP7/2007-2013) under grant agreement n° 284862.

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Authors and Affiliations

  1. Department of Computer Science and Engineering (DISI), University of Bologna, Cesena, Italy

    Matteo Ferrara, Annalisa Franco & Davide Maltoni

Authors
  1. Matteo Ferrara
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  2. Annalisa Franco
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  3. Davide Maltoni
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Corresponding author

Correspondence to Matteo Ferrara .

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Editors and Affiliations

  1. Multispectral Imagery Lab—MILab, LCSEE, West Virginia University, MORGANTOWN, West Virginia, USA

    Thirimachos Bourlai

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Ferrara, M., Franco, A., Maltoni, D. (2016). On the Effects of Image Alterations on Face Recognition Accuracy. In: Bourlai, T. (eds) Face Recognition Across the Imaging Spectrum. Springer, Cham. https://doi.org/10.1007/978-3-319-28501-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-28501-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28499-6

  • Online ISBN: 978-3-319-28501-6

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