Arguably, fingerprinting is the single most widely utilized method for individual identification and authentication (I&A). Dermatoglyphics form a vital portion of mass data collection, biometric scrutiny, and verification. Adermatoglyphia, or simply, loss of fingerprints attributed to a medical cause, represents a taxing situation for such biometric scrutiny systems requiring a fingerprint scan as a mandatory phase in I&A procedure. The scenario can be extremely debilitating for the adermatoglyphia patients, especially when the condition is permanent or irreversible. This article reviews different causes of adermatoglyphia, the challenge it poses to biometric identification, and the potential substitute modalities for fingerprinting technology. These modalities can function as a backup program for biometric surveillance in both medical and non-medical settings under circumstances when the fingerprinting method fails to comply.
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http://dx.doi.org/10.7759/cureus.4040 | DOI Listing |
PLoS One
January 2025
Xinjiang Institute of Technology, Aksu, China.
Facial expression recognition faces great challenges due to factors such as face similarity, image quality, and age variation. Although various existing end-to-end Convolutional Neural Network (CNN) architectures have achieved good classification results in facial expression recognition tasks, these network architectures share a common drawback that the convolutional kernel can only compute the correlation between elements of a localized region when extracting expression features from an image. This leads to difficulties for the network to explore the relationship between all the elements that make up a complete expression.
View Article and Find Full Text PDFSci Data
January 2025
Julius Kühn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Pillnitzer Platz 3a, 01326, Dresden-Pillnitz, Germany.
The German Fruit Genebank is a decentralized network focused on coordinating various germplasm collections across Germany to conserve and utilize the genetic resources of native fruit species. This aim emphasizes the necessity of trueness-to-type validation of genetic resources based on pomological and molecular characteristics. Between 2009 and 2021, multiple projects were undertaken to create an inventory of the apple (Malus ssp.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, Lebanese International University, Beirut P.O. Box 146404, Lebanon.
The integration of liveness detection into biometric systems is crucial for countering spoofing attacks and enhancing security. This study investigates the efficacy of photoplethysmography (PPG) signals, which offer distinct advantages over traditional biometric techniques. PPG signals are non-invasive, inherently contain liveness information that is highly resistant to spoofing, and are cost-efficient, making them a superior alternative for biometric authentication.
View Article and Find Full Text PDFNat Commun
January 2025
Data Science Institute, Imperial College London, London, UK.
AI techniques are increasingly being used to identify individuals both offline and online. However, quantifying their effectiveness at scale and, by extension, the risks they pose remains a significant challenge. Here, we propose a two-parameter Bayesian model for exact matching techniques and derive an analytical expression for correctness (κ), the fraction of people accurately identified in a population.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, PR China. Electronic address:
Background: Foodborne pathogens, particularly Vibrio parahaemolyticus (VP) found in seafood, pose significant health risks, including abdominal pain, nausea, and even death. Rapid, accurate, and sensitive detection of these pathogens is crucial for food safety and public health. However, existing detection methods often require complex sample pretreatment, which limits their practical application.
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