Literature DB >> 33104557

3D finger vein biometric authentication with photoacoustic tomography.

Ye Zhan, Aditya Singh Rathore, Giovanni Milione, Yuehang Wang, Wenhan Zheng, Wenyao Xu, Jun Xia.   

Abstract

Biometric authentication is the recognition of human identity via unique anatomical features. The development of novel methods parallels widespread application by consumer devices, law enforcement, and access control. In particular, methods based on finger veins, as compared to face and fingerprints, obviate privacy concerns and degradation due to wear, age, and obscuration. However, they are two-dimensional (2D) and are fundamentally limited by conventional imaging and tissue-light scattering. In this work, for the first time, to the best of our knowledge, we demonstrate a method of three-dimensional (3D) finger vein biometric authentication based on photoacoustic tomography. Using a compact photoacoustic tomography setup and a novel recognition algorithm, the advantages of 3D are demonstrated via biometric authentication of index finger vessels with false acceptance, false rejection, and equal error rates <1.23%, <9.27%, and <0.13%, respectively, when comparing one finger, a false acceptance rateimprovement>10× when comparing multiple fingers, and <0.7% when rotating fingers ±30.

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Year:  2020        PMID: 33104557     DOI: 10.1364/AO.400550

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

Review 1.  Slit-based photoacoustic tomography with co-planar light illumination and acoustic detection for high-resolution vascular imaging in human using a linear transducer array.

Authors:  Wenhan Zheng; Chuqin Huang; Huijuan Zhang; Jun Xia
Journal:  Biomed Eng Lett       Date:  2022-03-26

Review 2.  Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device.

Authors:  Christof Kauba; Martin Drahanský; Marie Nováková; Andreas Uhl; Štěpán Rydlo
Journal:  J Imaging       Date:  2022-05-23

3.  Photoacoustic tomography of fingerprint and underlying vasculature for improved biometric identification.

Authors:  Wenhan Zheng; Diana Lee; Jun Xia
Journal:  Sci Rep       Date:  2021-09-02       Impact factor: 4.379

  3 in total

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