1. Articles from Ronghua Liang

    1-4 of 4
    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. Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network

      Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network

      Optical coherence tomography (OCT) is a non-destructive, high-resolution, and non-invasive imaging technique that has recently been applied to biometric field for three dimensional (3D) fingertip data acquisition. Fingertip volume data contains the epidermis and part of the dermis layers representing the surface fingerprint and internal fingerprint, respectively. As a 3D and under skin feature, internal fingerprint provides much higher anti-counterfeiting capability compared with traditional 2D fingerprints. Furthermore, it is not affected by fingertip conditions such as wet, worn out (old) and small scars/injuries. However, the extraction of surface and internal fingerprints is challenging due to the speckle noise and ...

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    4. 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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    1-4 of 4
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  2. Topics in the News

    1. (3 articles) Zhejiang University
    2. (1 articles) Tsinghua University
    3. (1 articles) Yonghong He
    4. (1 articles) Academic Medical Center at the University of Amsterdam
    5. (1 articles) Jichi Medical University
    6. (1 articles) Capital Medical University
    7. (1 articles) University of Bonn
    8. (1 articles) Dresden University of Technology
    9. (1 articles) Nanjing University of Science and Technology
    10. (1 articles) Frank G. Holz
    11. (1 articles) Julia Walther
    12. (1 articles) Edmund Koch
    13. (1 articles) Frank D. Verbraak
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    Velocity range estimation for liquid flow based on optical micro-angiography Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography Surface and Internal Fingerprint Reconstruction from Optical Coherence Tomography through Convolutional Neural Network Correlation between optical coherence tomography, multifocal electroretinogram findings and visual acuity in diabetic macular edema Ciliary body length revisited by anterior segment optical coherence tomography: implications for safe access to the pars plana for intravitreal injections Evaluation of retinal vascular structure after epiretinal membrane surgery by optical coherence tomography angiography Bivalirudin vs. Heparin on Radial Artery Thrombosis during Transradial Coronary Intervention: An Optical Coherence Tomography Study Superficial Calcification With Rotund Shape Is Associated With Carotid Plaque Rupture: An Optical Coherence Tomography Study Longitudinal retinal layer changes in preclinical Alzheimer’s disease Clinical expert consensus document on rotational atherectomy from the Japanese association of cardiovascular intervention and therapeutics Optical coherence tomography features of choroidal neovascularization and their correlation with age, gender and underlying disease