1. Articles from Yilong Zhang

    1-3 of 3
    1. Surface and Internal Fingerprint Reconstruction from Optical Coherence Tomography through Convolutional Neural Network

      Surface and Internal Fingerprint Reconstruction from Optical Coherence Tomography through Convolutional Neural Network

      Optical coherence tomography (OCT), as a non-destructive and high-resolution fingerprint acquisition technology, is robust against poor skin conditions and resistant to spoof attacks. It measures fingertip information on and beneath skin as 3D volume data, containing the surface fingerprint, internal fingerprint and sweat glands. Various methods have been proposed to extract internal fingerprints, which ignore the inter-slice dependence and often require manually selected parameters. In this paper, a modified U-Net that combines residual learning, bidirectional convolutional long short-term memory and hybrid dilated convolution (denoted as BCL-U Net) for OCT volume data segmentation and two fingerprint reconstruction approaches are proposed. To ...

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    2. Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography

      Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography

      he research of external fingerprint collected by total internal reflection (TIR) has been carried out for decades and research of internal fingerprint of optical coherence tomography (OCT) has just begun. The internal fingerprint can be hardly affected by the finger surface status, due to its strong anti-interference and anti-spoofing ability, which can serve as a powerful supplement to external fingerprint. However, matching fingerprints acquired by different ways can lead to a drop in fingerprint recognition accuracy owing to the differences in fingerprint quality, distortions and detection areas. Whether the internal fingerprint can be used to replace the external fingerprint for ...

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    3. Velocity range estimation for liquid flow based on optical micro-angiography

      Velocity range estimation for liquid flow based on optical micro-angiography

      Optical micro-angiography (OMAG) is widely used in vivo imaging due to its non-invasive and highly sensitive measurements. It can effectively distinguish flowing and stationary particles for applications such as micro-size blood vessel. However, the detectable flow velocity of OMAG is restricted by the system parameters. Their relationship is usually unknown and thus increase the difficulty of OMAG application on liquid flow measurements. This study for the first time proposes a velocity range estimation formula to quantify the measurable velocity range of liquid flow for the OMAG and the ultrahigh-sensitivity OMAG (UHS-OMAG) methods. The velocity range not only provides rough velocity ...

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    1-3 of 3
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  2. Topics in the News

    1. (3 articles) National Institutes of Health
    2. (2 articles) Zhejiang University
    3. (1 articles) Tsinghua University
    4. (1 articles) Yonghong He
    5. (1 articles) University of Pennsylvania
    6. (1 articles) National Eye Institute
    7. (1 articles) Columbia University
    8. (1 articles) University of Iowa
    9. (1 articles) University of Rochester
    10. (1 articles) Mona K. Garvin
    11. (1 articles) Bo Yu
    12. (1 articles) Alcon
    13. (1 articles) Canon Medical Systems
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