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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

907
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
907

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ZJUT-EIFD: A Synchronously Collected External and Internal Fingerprint Database.

Haohao Sun, Haixia Wang, Yilong Zhang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |November 28, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces ZJUT-EIFD, a novel database combining external fingerprints (EFs) and internal fingerprints (IFs) from optical coherence tomography (OCT). This resource addresses the need for research into IFs and EF-IF interoperability, enhancing fingerprint recognition security.

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    Area of Science:

    • Biometrics
    • Computer Science
    • Medical Imaging

    Background:

    • External fingerprints (EFs) are susceptible to spoofing and environmental factors.
    • Internal fingerprints (IFs) using optical coherence tomography (OCT) offer enhanced security but lack extensive research and public datasets.
    • A gap exists in understanding and applying EF-IF interoperability.

    Purpose of the Study:

    • To introduce ZJUT-EIFD, the first public database integrating OCT-based IFs and traditional EFs.
    • To provide a benchmark for evaluating IFs and EF-IF interoperability.
    • To promote advancements in fingerprint recognition technology.

    Main Methods:

    • Developed ZJUT-EIFD database with synchronous acquisition of EFs and IFs using OCT and total internal reflection (TIR).
    • Collected data from 399 fingers across 60 subjects.
    • Detailed database composition, data quality, and verification performance.

    Main Results:

    • ZJUT-EIFD is the first public database to combine OCT and TIR for synchronous fingerprint acquisition.
    • The database provides comprehensive data on both EFs and IFs.
    • Initial analysis details data quality and verification performance.

    Conclusions:

    • ZJUT-EIFD serves as a crucial resource for EF-IF research and development.
    • The database facilitates benchmarking and interoperability testing.
    • This work is expected to significantly advance the field of fingerprint recognition.