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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
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Published on: February 23, 2024

Optical fingerprint recognition based on local minutiae structure coding.

Yao Yi1, Liangcai Cao, Wei Guo

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.

Optics Express
|August 14, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a robust optical fingerprint recognition system using holographic data storage. The novel approach accurately identifies fingerprints despite translation, rotation, and distortion, enhancing security applications.

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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Published on: September 2, 2020

Area of Science:

  • Optics and Photonics
  • Biometrics and Pattern Recognition
  • Information Storage

Background:

  • Traditional fingerprint recognition systems face challenges with image distortions like translation, rotation, and nonlinear variations.
  • Developing robust and accurate biometric identification methods is crucial for security and forensic applications.

Purpose of the Study:

  • To propose and demonstrate a parallel volume holographic optical fingerprint recognition system.
  • To achieve high robustness against common fingerprint distortions using optical methods.

Main Methods:

  • Encoding fingerprints into multiple template data pages using a local minutiae structure coding method adapted for optical channels.
  • Utilizing multiplexed holograms recorded in holographic media for optical filtering and similarity measurement.
  • Implementing an improved filter recording time schedule and post-filtering calibration to minimize errors.

Main Results:

  • The system demonstrated robustness against fingerprint translation, rotation, and nonlinear distortion.
  • Experimental validation on the FVC2002 DB1 and a large forensic database (270,216 fingerprints) confirmed system feasibility.
  • The proposed methods effectively suppressed calculation errors caused by variations in data page filling ratios.

Conclusions:

  • The developed volume holographic optical system offers a robust and feasible solution for fingerprint recognition.
  • The integration of advanced holographic techniques and data processing shows significant potential for biometric security.