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IR Frequency Region: Fingerprint Region

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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A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

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Published on: March 9, 2015

An objective fingerprint quality-grading system.

Drew P Pulsifer¹, Sarah A Muhlberger, Stephanie F Williams

¹Materials Research Institute and Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA.

Forensic Science International

|July 30, 2013

Summary

This study introduces an objective, quantitative system for grading fingerprint quality, replacing subjective examiner assessments. The new method utilizes software to identify low-, medium-, and high-quality minutiae for improved accuracy.

Keywords:

Clarity map Fingerprint grading scheme Objective grading scheme

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Area of Science:

Forensic Science
Biometrics
Image Analysis

Background:

Current fingerprint quality grading by examiners is subjective.
Subjectivity in fingerprint analysis can lead to inconsistencies.
Need for an objective, reproducible method in forensic identification.

Purpose of the Study:

To develop an objective system for grading fingerprint quality.
To eliminate subjectivity in the assessment of fingerprint detail.
To provide a quantitative measure of fingerprint minutiae quality.

Main Methods:

A quantitative grading system was devised.
Utilized three readily available software packages.
Identified fingerprint portions corresponding to definitive minutiae (low, medium, high quality).
Defined minutiae based on the Universal Latent Workstation (ULW) standards of the US Federal Bureau of Investigation (FBI).

Main Results:

The system provides objective, quantitative quality grading.
Successfully categorizes minutiae into low, medium, and high quality.
Demonstrates a method to remove subjectivity from fingerprint quality assessment.

Conclusions:

The developed system offers an objective alternative to subjective fingerprint quality grading.
This quantitative approach enhances the reliability of fingerprint analysis.
Standardized quality assessment improves the consistency of forensic identification processes.