Graph-based multi-view binary learning for image clustering
Hashing techniques, also known as binary code learning, have recently attracted increasing
attention in large-scale data analysis and storage. Generally, most existing hash clustering …
attention in large-scale data analysis and storage. Generally, most existing hash clustering …
Gait recognition based on 3D human body reconstruction and multi-granular feature fusion
C Meng, X He, Z Tan, L Luan - The Journal of Supercomputing, 2023 - Springer
Gait recognition is a crucial video-based biometric approach that allows for the identification
of pedestrians from the motion of their walk over a distance without direct contact. Despite …
of pedestrians from the motion of their walk over a distance without direct contact. Despite …
FIMBISAE: A Multimodal Biometric Secured Data Access Framework for Internet of Medical Things Ecosystem
Information from the Internet of Medical Things (IoMT) domain demands building safeguards
against illegitimate access and identification. Existing user identification schemes suffer from …
against illegitimate access and identification. Existing user identification schemes suffer from …
Ihashnet: Iris hashing network based on efficient multi-index hashing
Massive biometric deployments are pervasive in today's world. But despite the high
accuracy of biometric systems, their computational efficiency degrades drastically with an …
accuracy of biometric systems, their computational efficiency degrades drastically with an …
Iris image retrieval using partial matching of image blocks
F Afkhamnia, FZ Boroujeni… - IET Image …, 2024 - Wiley Online Library
The problem of human identification through recognition of patterns in iris images captured
in unconstrained environments results in image artefacts such as image occlusion and …
in unconstrained environments results in image artefacts such as image occlusion and …
IrisIndexNet: Indexing on iris databases for faster identification
Iris is one of the most accurate biometric traits for human authentication due to high
reliability, uniqueness, and stability. Identification of a query iris sample requires its …
reliability, uniqueness, and stability. Identification of a query iris sample requires its …
An efficient case retrieval algorithm for agricultural case-based reasoning systems, with consideration of case base maintenance
Case-based reasoning has considerable potential to model decision support systems for
smart agriculture, assisting farmers in managing farming operations. However, with the …
smart agriculture, assisting farmers in managing farming operations. However, with the …
Fast similarity search in large-scale Iris databases using high-dimensional hashing
Iris recognition is a widely used biometric identification technology that relies on the
accurate and efficient matching of iris images. However, fast matching in large databases …
accurate and efficient matching of iris images. However, fast matching in large databases …
Advanced Spatiotemporal Chaos-Based Hash Functions for Enhanced Security
Y Li - 2024 - researchsquare.com
The exploration of spatiotemporal chaos within nonlinear science has attracted significant
attention recently. This research unveils an advanced framework for the cross-coupled map …
attention recently. This research unveils an advanced framework for the cross-coupled map …
Check for Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing
Iris recognition is a widely used biometric identification technology that relies on the
accurate and efficient matching of iris images. However, fast matching in large databases …
accurate and efficient matching of iris images. However, fast matching in large databases …