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Related Concept Videos

IR Spectrum01:19

IR Spectrum

When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0% (complete...
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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.
The...
IR Spectrum Peak Intensity: Amount of IR-Active Bonds00:55

IR Spectrum Peak Intensity: Amount of IR-Active Bonds

When infrared radiation is passed through a molecule, absorption occurs if the molecule's vibration leads to a substantial change in its bond dipole moment. Transitions between vibrational energy levels, typically corresponding to infrared frequencies (4000–400 cm−1), allow absorption if the vibration significantly alters the dipole moment, making the molecule infrared active. The molecular bonds have different stretching and bending vibrations, resulting in various peaks with varying...

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Related Experiment Video

Updated: Jun 23, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Published on: May 3, 2011

The best bits in an iris code.

Karen P Hollingsworth1, Kevin W Bowyer, Patrick J Flynn

  • 1Department of Computer Science, University of Notre Dame, Notre Dame, IN 46556, USA. kholling@nd.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 18, 2009
PubMed
Summary
This summary is machine-generated.

Iris biometric systems use iris codes, but not all bits are equally useful. This study finds middle iris bands are more consistent, improving accuracy by masking inconsistent bits.

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Area of Science:

  • Biometrics
  • Computer Vision
  • Pattern Recognition

Background:

  • Iris biometric systems encode iris texture using filters, generating binary iris codes.
  • Daugman's approach calculates fractional Hamming distance, assuming equal bit importance for identity matching.
  • Existing methods do not account for varying bit consistency within iris codes.

Purpose of the Study:

  • To investigate the consistency of different bits within iris codes.
  • To identify iris regions with higher bit consistency for improved biometric accuracy.
  • To explore methods for enhancing iris code reliability by addressing bit inconsistencies.

Main Methods:

  • Analysis of iris texture using filters to generate binary iris codes.
  • Comparison of bit consistency across different iris regions (inner vs. middle bands).
  • Investigation of factors contributing to bit inconsistencies, including segmentation and filter types.

Main Results:

  • Demonstration that not all bits in an iris code are equally consistent; middle iris bands exhibit higher consistency.
  • Identification of coarse quantization of phase response as a primary cause of inconsistencies.
  • Significant improvement in the separation of match and non-match distributions by masking inconsistent bits.

Conclusions:

  • The varying consistency of bits in iris codes is a critical factor affecting biometric performance.
  • Targeting and masking less consistent bits, particularly those near complex filter response axes, enhances iris recognition accuracy.
  • Future research should focus on optimizing quantization and filtering techniques to maximize iris code reliability.