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Towards Using Police Officers' Business Smartphones for Contactless Fingerprint Acquisition and Enabling Fingerprint
Christof Kauba1, Dominik Söllinger1, Simon Kirchgasser1
1The Multimedia Signal Processing and Security Lab, University of Salzburg, 5020 Salzburg, Austria.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study explores mobile fingerprint recognition using smartphones, detailing the toolchain for contactless acquisition and processing. It guides future development of iPhone-based systems for efficient identity verification.
Area of Science:
- Biometrics
- Computer Science
- Mobile Technology
Background:
- Biometric recognition systems are increasingly integrated into mobile devices.
- Smartphones can function as mobile fingerprint image acquisition devices.
- On-device fingerprint processing facilitates identity verification for law enforcement.
Purpose of the Study:
- To conduct an in-depth engineering study of the fingerprint recognition toolchain.
- To guide future development of a contactless mobile fingerprint solution using the iPhone 11 without extra hardware.
- To enable contactless acquisition and processing of four fingers simultaneously.
Main Methods:
- Investigated traditional handcrafted feature-based and deep-learning-based approaches for fingertip detection and segmentation.
- Analyzed the fingerprint recognition toolchain stages.
- Performed run-time analysis and evaluated biometric recognition performance.
Main Results:
- Demonstrated the feasibility of contactless mobile fingerprint acquisition and processing on a smartphone.
- Evaluated various methods for fingertip detection and segmentation.
- Provided initial results on biometric recognition performance for the contactless system.
Conclusions:
- The study provides a comprehensive engineering analysis of mobile fingerprint recognition.
- Findings guide the development of contactless, hardware-free mobile biometric solutions.
- The research paves the way for enhanced mobile identity verification systems.
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01:03IR 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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01:14Design Example: Resistive Touchscreen
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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...
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...