Palmprint Recognition: Extensive exploration of databases, methodologies, comparative assessment, and future directions

N Amrouni, A Benzaoui, A Zeroual - Applied Sciences, 2023 - mdpi.com
This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

A review of feature set partitioning methods for multi-view ensemble learning

A Kumar, J Yadav - Information Fusion, 2023 - Elsevier
Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

Smartphone user identification/authentication using accelerometer and gyroscope data

E Al-Mahadeen, M Alghamdi, AS Tarawneh… - Sustainability, 2023 - mdpi.com
With the increasing popularity of smartphones, user identification has become a critical
component to ensure security and privacy. This study looked into how smartphone sensors' …

Invariant Feature Encoding for Contact Handprints Using Delaunay Triangulated Graph

AJ Mohamed Abdul Cader, J Banks, V Chandran - Applied Sciences, 2023 - mdpi.com
Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

Invariant feature encoding for contact handprints using delaunay triangulated graph

A Jahan, MA Cader, B Jasmine, C Vinod - 2023 - ir.lib.seu.ac.lk
Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

Smartphone User Identification Using Accelerometer Data

E Al-Mahadeen, M Alghamdi, AS Tarawneh… - 2023 - preprints.org
With the growing popularity of smartphones, user identification has become an essential
component of maintaining security and privacy. This study investigates how smartphone …

[引用][C] Effects of different types of noise in palmprint image classification using SURF descriptors

I Păvăloi, CD Niţă, H Costin