[图书][B] Cross-disciplinary applications of artificial intelligence and pattern recognition: Advancing technologies: Advancing technologies

VK Mago - 2011 - books.google.com
The need for intelligent machines in areas such as medical diagnostics, biometric security
systems, and image processing motivates researchers to develop and explore new …

Computational intelligence for biometric applications: a survey

R Donida Labati, A Genovese… - COMPUTING …, 2016 - air.unimi.it
Biometric systems consist of devices, procedures, and algorithms used to recognize people
based on their physiological or behavioral features, known as biometric traits …

Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices

O Jayawardena, F Rashid, S Seneviratne - Proceedings of the 19th ACM …, 2023 - dl.acm.org
Behaviour biometrics are being explored as a viable alternative to overcome the limitations
of traditional authentication methods such as passwords and static biometrics. Also, they are …

[PDF][PDF] Exploring Human Biometrics: A Focus on Security Concerns and Deep Neural Networks

WH Abdulla, F Marattukalam… - APSIPA Transactions on …, 2023 - nowpublishers.com
Biometric technology is rapidly growing due to the urgent need to secure people's
properties, from goods to information, in the overwhelming digital technology proliferation in …

[HTML][HTML] Combining forces: Data fusion across man and machine for biometric analysis

SV Stevenage, RM Guest - Image and Vision Computing, 2016 - Elsevier
Combining forces: Data fusion across man and machine for biometric analysis -
ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …

An empirical comparison of individual machine learning techniques in signature and fingerprint classification

M Abreu, M Fairhurst - … : First European Workshop, BIOID 2008, Roskilde …, 2008 - Springer
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …

Machine and Deep learning in Biometric Authentication: A Review

D Singla, N Verma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Biometric authentication is getting privileged as it allows authentication of a legitimate user
without entering a personal identification number or password. Only a glance of any physical …

Biometric recognition using feature selection and combination

A Kumar, D Zhang - International Conference on Audio-and Video-Based …, 2005 - Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature
extraction and classification. However, the critical issue of examining the usefulness of …

[HTML][HTML] Deep learning based authentication schemes for smart devices in different modalities: progress, challenges, performance, datasets and future directions

SW Shende, JV Tembhurne, NA Ansari - Multimedia Tools and …, 2024 - Springer
Deep learning algorithms have shown exceptional effectiveness in a wide range of
supervised and unsupervised learning tasks in a variety of fields, including image …

[图书][B] Biometrics in a data driven world: trends, technologies, and challenges

S Mitra, M Gofman - 2016 - books.google.com
Biometrics in a Data Driven World: Trends, Technologies, and Challenges aims to inform
readers about the modern applications of biometrics in the context of a data-driven society …