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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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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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Design Example: Resistive Touchscreen01:14

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A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
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Related Experiment Video

Updated: Oct 3, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

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Mobile Contactless Fingerprint Recognition: Implementation, Performance and Usability Aspects.

Jannis Priesnitz1, Rolf Huesmann2, Christian Rathgeb1

  • 1da/sec-Biometrics and Internet Security Research Group, Hochschule Darmstadt, Schöfferstraße 8b, 64295 Darmstadt, Germany.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an automated contactless fingerprint recognition system for smartphones, achieving performance comparable to traditional methods. Most users preferred the contactless approach, highlighting its potential, especially during the COVID-19 pandemic.

Keywords:
biometric performancebiometricscontactless fingerprintfingerprint recognitionusability

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Area of Science:

  • Biometrics
  • Computer Science
  • Electrical Engineering

Background:

  • Traditional contact-based fingerprint recognition poses hygiene concerns, amplified by the COVID-19 pandemic.
  • There is a growing need for automated, contactless biometric solutions for enhanced security and public health.
  • Existing contactless systems often lack comprehensive pipeline descriptions and publicly available implementations.

Purpose of the Study:

  • To present a fully automated contactless fingerprint recognition system for smartphones.
  • To detail the complete recognition pipeline and requirements for automated contactless capture.
  • To evaluate the performance and usability of the contactless system against a contact-based baseline.

Main Methods:

  • Development of an automated contactless fingerprint acquisition and recognition pipeline.
  • Creation of a database with 1360 contactless and contact-based fingerprint samples from 29 subjects under varied environmental conditions.
  • Comparative performance analysis between contactless and contact-based fingerprint recognition schemes.
  • Usability study comparing user preference for contactless versus contact-based devices.

Main Results:

  • The contactless fingerprint recognition system demonstrated performance comparable to the contact-based baseline under specific environmental conditions.
  • A majority of participants expressed a preference for the contactless capturing method in the usability study.
  • Analysis indicates the relevance of contactless systems in the context of the COVID-19 pandemic.

Conclusions:

  • Automated contactless fingerprint recognition is a viable alternative to traditional methods, offering comparable accuracy and improved user preference.
  • The developed system and its implementation are valuable resources for further research in contactless biometrics.
  • Contactless fingerprint technology is particularly relevant for enhancing security and hygiene in the post-pandemic era.