Iris recognition development techniques: a comprehensive review
JR Malgheet, NB Manshor, LS Affendey - Complexity, 2021 - Wiley Online Library
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …
Among authentication techniques, iris recognition systems have received attention very …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Deep gan-based cross-spectral cross-resolution iris recognition
In recent years, cross-spectral iris recognition has emerged as a promising biometric
approach to establish the identity of individuals. However, matching iris images acquired at …
approach to establish the identity of individuals. However, matching iris images acquired at …
A deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features
Z Zhao, A Kumar - Pattern Recognition, 2019 - Elsevier
This paper proposes a deep learning based unified and generalizable framework for
accurate iris detection, segmentation and recognition. The proposed framework firstly …
accurate iris detection, segmentation and recognition. The proposed framework firstly …
Extreme downsampling and joint feature for coding-based palmprint recognition
Palmprint is a commonly used and significant modality for biometric recognition currently.
The coding-based methods are practical for palmprint recognition because they can be free …
The coding-based methods are practical for palmprint recognition because they can be free …
Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network
The spectral fingerprint is a significant concept in nontarget screening of environmental
samples to direct identification efforts to relevant and important features. Surface-enhanced …
samples to direct identification efforts to relevant and important features. Surface-enhanced …
Iris liveness detection for biometric authentication: A systematic literature review and future directions
Biometrics is progressively becoming vital due to vulnerabilities of traditional security
systems leading to frequent security breaches. Biometrics is an automated device that …
systems leading to frequent security breaches. Biometrics is an automated device that …
Efficient, accurate and fast pupil segmentation for pupillary boundary in iris recognition
Iris recognition is a robust biometric system—user-friendly, accurate, fast, and reliable. This
biometric system captures information in a contactless manner, making it suitable for use …
biometric system captures information in a contactless manner, making it suitable for use …
A review of fingerprint sensors: Mechanism, characteristics, and applications
Y Yu, Q Niu, X Li, J Xue, W Liu, D Lin - Micromachines, 2023 - mdpi.com
Identification technology based on biometrics is a branch of research that employs the
unique individual traits of humans to authenticate identity, which is the most secure method …
unique individual traits of humans to authenticate identity, which is the most secure method …