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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

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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...
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In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Related Experiment Video

Updated: Dec 27, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
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Cross-spectral iris recognition using phase-based matching and homomorphic filtering.

Maulisa Oktiana1, Takahiko Horiuchi2, Keita Hirai2

  • 1Graduate School of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.

Heliyon
|March 4, 2020
PubMed
Summary

This study introduces a novel phase-based method for cross-spectral iris recognition, enhancing accuracy by integrating homomorphic filtering to overcome illumination challenges. The new approach significantly improves matching performance, offering a more robust biometric identification system.

Keywords:
Band-limited phase-only correlation (BLPOC)Biomedical engineeringComputer engineeringComputer scienceCross-spectral matchingElectrical engineeringImage processingIris recognitionMedical imagingPhase-based iris recognitionPhase-only correlation (POC)Signal processing

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Area of Science:

  • Biometrics
  • Computer Vision
  • Signal Processing

Background:

  • Cross-spectral iris recognition utilizes multiple spectral bands for richer iris data.
  • Existing feature-based methods are sensitive to parameter variations and acquisition conditions, impacting performance.
  • Specular reflection and varying illumination pose significant challenges for phase-based cross-spectral iris recognition.

Purpose of the Study:

  • To develop a robust phase-based cross-spectral iris recognition system.
  • To address the performance degradation caused by feature extraction parameters in previous methods.
  • To overcome the limitations of specular reflection and illumination variations in phase-based recognition.

Main Methods:

  • Implemented a phase-based approach using phase-only correlation (POC) and band-limited phase-only correlation (BLPOC).
  • Integrated homomorphic filtering for photometric normalization to mitigate illumination effects.
  • Evaluated the system's matching performance under varying conditions.

Main Results:

  • The proposed phase-based method demonstrated excellent matching performance.
  • Achieved a low equal error rate (EER) of 0.59%.
  • Obtained a high genuine acceptance rate (GAR) of 95%.

Conclusions:

  • The integrated phase-based approach with homomorphic filtering offers a highly accurate and robust solution for cross-spectral iris recognition.
  • The method is resilient to feature extraction parameter changes and illumination variations.
  • This technique significantly advances the field of biometric security through improved iris recognition.