Related Concept Videos
01:17Sign Test for Matched Pairs
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The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
To conduct the sign test, we first calculate the differences in...
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01:03IR 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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02:41pH Scale
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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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01:09Wilcoxon Signed-Ranks Test for Matched Pairs
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The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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01:26Scaling
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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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01:18Second Order systems II
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In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem.
Helala AlShehri1, Muhammad Hussain2, Hatim AboAlSamh3
1College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia. hatim@ksu.edu.sa.
Sensors (Basel, Switzerland)
|March 31, 2018
Summary
Fingerprint matching accuracy decreases when different sensors are used for enrollment and verification. This study analyzes fingerprint sensor interoperability challenges and proposes future research directions for improved cross-sensor matching performance.
Area of Science:
- Biometrics
- Computer Science
- Pattern Recognition
Background:
- Fingerprint recognition is a widely used biometric authentication method.
- Current methods assume identical sensors for enrollment and verification.
- Advances in sensor technology create a fingerprint sensor interoperability problem.
Purpose of the Study:
- Analyze challenges in cross-sensor fingerprint matching.
- Assess the performance of current fingerprint recognition methods in interoperable scenarios.
- Identify areas for future research in fingerprint sensor interoperability.
Main Methods:
- Analyzed characteristics of fingerprints captured by different sensors.
- Demonstrated the importance of fingerprint enhancement for cross-sensor matching.
- Conducted a comparative study of state-of-the-art fingerprint recognition methods using the public FingerPass database.
Main Results:
- Cross-sensor matching performance significantly deteriorates when different sensors are used.
- Fingerprint enhancement methods are crucial for mitigating performance loss.
- Identified limitations of current methods in addressing the interoperability problem.
Conclusions:
- Fingerprint sensor interoperability remains a significant challenge.
- Further research is needed to develop robust cross-sensor matching algorithms.
- Enhancement techniques play a vital role in improving performance in interoperable systems.