Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
A comprehensive overview of feature representation for biometric recognition
The performance of any biometric recognition system heavily dependents on finding a good
and suitable feature representation space where observations from different classes are well …
and suitable feature representation space where observations from different classes are well …
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 …
methodologies employed within biometric palmprint recognition models. It encompasses a …
An experimental analysis of various machine learning algorithms for hand gesture recognition
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …
communication, hand gestures play an important role so that humans can communicate …
Learning discriminant direction binary palmprint descriptor
Palmprint directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
Local apparent and latent direction extraction for palmprint recognition
Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …
palmprint recognition. However, more existing direction-based methods only extract the …
Local discriminant direction binary pattern for palmprint representation and recognition
Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …
However, there is no existing work that completely analyzes the essential differences among …
Learning compact multifeature codes for palmprint recognition from a single training image per palm
In this article, we propose a multifeature learning method to jointly learn compact
multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …
multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …
Human centric attention with deep multiscale feature fusion framework for activity recognition in Internet of Medical Things
Recent advancements in the Internet of Medical Things (IoMT) have revolutionized the
healthcare sector, making it an active research area in the academic and industrial sectors …
healthcare sector, making it an active research area in the academic and industrial sectors …
RRCNet: Rivet region classification network for rivet flush measurement based on 3-D point cloud
In the aircraft manufacturing industry, rivet inspection is a vital task for the aircraft structure
stability and aerodynamic performance. In this article, we propose a novel framework for fully …
stability and aerodynamic performance. In this article, we propose a novel framework for fully …