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A Novel Approach to Enhanced Cancelable Multi-Biometrics Personal Identification Based on Incremental Deep Learning

Year: 2025

Type: article

Abstract: The field of biometric identification has seen significant advancements over the years, with research focusing on enhancing the accuracy and security of these systems. One of the key developments is the integration of deep le... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.063227

Authors: Ali Batouche, Souham Meshoul, Hadil Shaiba, Mohamed Batouche

Institutions: Princess Nourah bint Abdulrahman University, Northumbria University

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4408874456

FWCI: 4.485

Cites: 28

Cited by: 9

Related to: 10