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F-FID: fast fuzzy-based iris de-noising for mobile security applications

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Abstract

Once confined to indoor biometric applications depending on dedicated acquisition devices, recently the iris has proved to be a suitable biometric for in-the-wild ubiquitous person authentication, thanks to continuously improving image capturing/processing performances provided by last generations of smartphones. In this mobile context, the efficiency of the whole processing pipeline represents a crucial aspect of any practical application and the segmentation task, that is deeply affected by noisy iris images may become a serious bottleneck. This work presents F-FID, an effective and time-wise efficient approach to de-noising of iris images by means of a fuzzy controller without sacrificing their resolution and saliency. The experiments, specifically conducted on the MICHE dataset, confirm that the proposed method provides segmentation accuracy comparable to that achieved by state of the art algorithms, while requiring less than twenty percent of their average computing time.

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Authors and Affiliations

  1. Department of Mathematics and Computer Sciences, University of Cagliari, Cagliari, Italy

    Silvio Barra

  2. Department of Computer Sciences, University of Salerno, Salerno, Italy

    Carmen Bisogni & Michele Nappi

  3. Department of Biosciences and Territory, University of Molise, Molise, Italy

    Stefano Ricciardi

Authors
  1. Silvio Barra
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  2. Carmen Bisogni
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  3. Michele Nappi
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  4. Stefano Ricciardi
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Correspondence to Silvio Barra.

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Barra, S., Bisogni, C., Nappi, M. et al. F-FID: fast fuzzy-based iris de-noising for mobile security applications. Multimed Tools Appl 78, 14045–14065 (2019). https://doi.org/10.1007/s11042-019-7156-9

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