AIMC Topic: Dermatoglyphics

Clear Filters Showing 1 to 10 of 14 articles

Trimodal machine learning based biometrics system.

Scientific reports Jul 1, 2025
Biometrics-based authentication systems have recently been considered as one of the safest methods to secure our data or possessions. In the literature, the solutions based on one or two measurable traits are broadly described. There was also claim t...
Humans Neural Networks, Computer Machine Learning Biometric Identification Biometry Dermatoglyphics Algorithms Fingers
View on PubMed DOI

Mapping human fingerprint beyond level-3 based on an amphiphilic aggregation-induced emission luminogen and the construction of intelligent platform for personal identification.

Analytica chimica acta Mar 10, 2025
BACKGROUND: Fluorescence imaging agents have been benefiting tremendously from tailor-made aggregation-induced emission (AIE) luminogens, owing to their high on-off ratio, large signal contrast, low background noise as well as the resistance to photo...
Optical Imaging Humans Dermatoglyphics Fluorescent Dyes Surface-Active Agents Aldehydes
View on PubMed DOI

Geographical classification of population: Analysis of amino acid in fingermark residues using UHPLC-QQQ-MS/MS combined with machine learning.

Forensic science international Nov 8, 2024
OBJECTIVE: To determine the living regions of individuals based on amino acids in fingermark residues and to establish a rapid and accurate regional classification method using machine learning.
Humans Female Adult Male Machine Learning Algorithms Dermatoglyphics Chromatography, High Pressure Liquid Tandem Mass Spectrometry Geography China Amino Acids
View on PubMed DOI

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning.

Journal of proteome research Jan 3, 2024
Triacylglycerols and wax esters are two lipid classes that have been linked to diseases, including autism, Alzheimer's disease, dementia, cardiovascular disease, dry eye disease, and diabetes, and thus are molecules worthy of biomarker exploration st...
Dermatoglyphics Sebum Triglycerides Specimen Handling Male Child Lipids Lipidomics Mass Spectrometry Biomarkers Humans Female Machine Learning Aged
View on PubMed DOI

Multifunctional Eu(III)-modified HOFs: roxarsone and aristolochic acid carcinogen monitoring and latent fingerprint identification based on artificial intelligence.

Materials horizons Nov 27, 2023
The exploration of multifunctional materials and intelligent technologies used for fluorescence sensing and latent fingerprint (LFP) identification is a research hotspot of material science. In this study, an emerging crystalline luminescent material...
Artificial Intelligence Dermatoglyphics Carcinogens Roxarsone
View on PubMed DOI

Ultrasonic Guided Wave Inversion Based on Deep Learning Restoration for Fingerprint Recognition.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Sep 27, 2022
As an established biometric authentication approach, fingerprint scanning has received considerable attention due to its high accuracy and reliability. In this article, the fingerprint reconstruction at any position is achieved in large physical doma...
Dermatoglyphics Reproducibility of Results Deep Learning Algorithms Ultrasonics
View on PubMed DOI

Predicting suitability of finger marks using machine learning techniques and examiner annotations.

Forensic science international Feb 5, 2021
Previous research has established the variability of examiners in reaching suitability determinations for friction ridge comparisons. Attempts to create predictive models to assist in this determination have been made, but have been largely confined ...
Dermatoglyphics Humans Machine Learning Models, Statistical
View on PubMed DOI

Hypercomplex extreme learning machine with its application in multispectral palmprint recognition.

PloS one Apr 15, 2019
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest d...
Algorithms Humans Female Middle Aged Adult Pattern Recognition, Automated Neural Networks, Computer Young Adult Male Machine Learning Dermatoglyphics
View on PubMed DOI

A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.

Journal of medical systems Mar 21, 2019
Biometric authentication is the process of recognizing a person by means of his\her psychological or behavioral traits. One of the most important issues faced by the biometric system developer is to protect the template obtained from the biometric of...
Computer Security Dermatoglyphics Fuzzy Logic Hand Biometric Identification Humans Image Processing, Computer-Assisted
View on PubMed DOI

A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier.

Computational intelligence and neuroscience May 31, 2015
Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Dermatoglyphics Image Enhancement Mobile Applications Humans Cluster Analysis Hand Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals