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Fingerprint Sensing

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Handbook of Fingerprint Recognition

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Abstract

This chapter surveys available fingerprint acquisition techniques: from the traditional “ink on paper” to live-scan sensing based on optical, capacitive, and ultrasonic technologies. Technological advancements (e.g., the TFT process) that enabled in-display integration of fingerprint sensors in smartphones and emerging technologies such as OCT and touchless sensing are introduced. Examples are provided for multi-finger and single-finger scanners, as well as sensing elements for mobile devices. Factors that determine the quality of the sensing device and the resulting fingerprint image are explained, and the most common Image Quality Specifications (IQS) used for sensor certification are reviewed.

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Notes

  1. 1.

    https://www.nist.gov/itl/iad/image-group/slap-fingerprint-segmentation-evaluation-iii.

  2. 2.

    https://www.nextbiometrics.com/technology/.

  3. 3.

    https://mainguet.org/biometrics/types/fingerprint/fingerprint_sensors_physics_mechan.htm#tactile.

  4. 4.

    https://www.qualcomm.com/products/features/fingerprint-sensors.

  5. 5.

    IAFIS is the acronym used to denote the FBI’s Integrated AFIS.

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Authors and Affiliations

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

    Davide Maltoni

  2. Department of Computer Science and Engineering, University of Bologna, Cesena, Italy

    Dario Maio

  3. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

  4. Department of Automation, Tsinghua University, Beijing, China

    Jianjiang Feng

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Maltoni, D., Maio, D., Jain, A.K., Feng, J. (2022). Fingerprint Sensing. In: Handbook of Fingerprint Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-83624-5_2

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