The role of eye gaze in security and privacy applications: Survey and future HCI research directions
For the past 20 years, researchers have investigated the use of eye tracking in security
applications. We present a holistic view on gaze-based security applications. In particular …
applications. We present a holistic view on gaze-based security applications. In particular …
Long range iris recognition: A survey
The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to …
visible. An iris recognition system exploits the richness of these textural patterns to …
Iris recognition with off-the-shelf CNN features: A deep learning perspective
Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
Cross-modality interactive attention network for multispectral pedestrian detection
Multispectral pedestrian detection is an emerging solution with great promise in many
around-the-clock applications, such as automotive driving and security surveillance. To …
around-the-clock applications, such as automotive driving and security surveillance. To …
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network
X Zhao, L Li, W Lu, S Tan - Physics in Medicine & Biology, 2018 - iopscience.iop.org
Automatic tumor segmentation from medical images is an important step for computer-aided
cancer diagnosis and treatment. Recently, deep learning has been successfully applied to …
cancer diagnosis and treatment. Recently, deep learning has been successfully applied to …
From classical methods to animal biometrics: A review on cattle identification and tracking
AI Awad - Computers and Electronics in Agriculture, 2016 - Elsevier
Cattle, buffalo and cow, identification has recently played an influential role towards
understanding disease trajectory, vaccination and production management, animal …
understanding disease trajectory, vaccination and production management, animal …
A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions
Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
Deep-prwis: Periocular recognition without the iris and sclera using deep learning frameworks
This paper is based on a disruptive hypothesis for periocular biometrics-in visible-light data,
the recognition performance is optimized when the components inside the ocular globe (the …
the recognition performance is optimized when the components inside the ocular globe (the …
Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Overview of the combination of biometric matchers
Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …