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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.
The...
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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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Strategies of Self-Presentation II: Self-Verification

Self-verification is a fundamental psychological drive wherein individuals seek affirmation of their self-concept from others, striving for consistency between their internal self-view and external perceptions. This drive operates even when the self-concept is negative, influencing interpersonal behavior and feedback preferences in complex and often counterintuitive ways. Unlike the self-enhancement motive, which seeks positive evaluations, self-verification prioritizes coherence and...
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Fluorescence in situ hybridization, or FISH, was developed in the early 1980s and has quickly become one of the most widely used techniques in cytogenetics. Labeled probes are used to bind complementary DNA or RNA sequences on a chromosome or in a region within a cell. Earlier, the probes could only be obtained by cloning or reverse transcription of a DNA template. Currently, the probe oligonucleotides can be synthesized synthetically. Additionally, with the advancement of optical techniques,...

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Related Experiment Video

Updated: Jul 16, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

Online fingerprint verification.

K Upendra1, S Singh, V Kumar

  • 1Electrical Engineering Department, Indian Institute of Technology, Roorkee, Uttaranchal, 247 667, India.

Journal of Medical Engineering & Technology
|March 17, 2007
PubMed
Summary

Biometric authentication is advancing, with filter bank fingerprint representation offering a more secure alternative to minutiae-based methods. This new approach enhances accuracy for online verification systems.

Area of Science:

  • Computer Science
  • Biometrics
  • Security Engineering

Background:

  • Biometrics are increasingly vital for secure authentication in user access and e-commerce.
  • Fingerprint identification is a popular biometric method, with minutiae-based representation being widely used.
  • Minutiae-based methods have limitations, failing to capture rich discriminatory information from local ridge structures.

Purpose of the Study:

  • To implement and test a filter bank-based representation for fingerprint identification.
  • To overcome the limitations of minutiae-based fingerprint representations.
  • To evaluate the effectiveness of this new system for secure online verification.

Main Methods:

  • A filter bank-based representation was implemented for fingerprint analysis.

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Last Updated: Jul 16, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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  • The performance of the developed system was rigorously tested.
  • The system was evaluated for its suitability in secure online verification applications.
  • Main Results:

    • The filter bank-based representation effectively addresses the weaknesses of minutiae-based methods.
    • The developed system demonstrated robust performance in tests.
    • The system proved capable of utilizing rich discriminatory information from fingerprints.

    Conclusions:

    • The filter bank-based fingerprint representation offers a more comprehensive approach to identification.
    • This system provides an effective solution for secure online verification.
    • The research highlights the potential of filter bank methods in advancing biometric security.