Towards more discriminative and robust iris recognition by learning uncertain factors
The uncontrollable acquisition process limits the performance of iris recognition. In the
acquisition process, various inevitable factors, including eyes, devices, and environment …
acquisition process, various inevitable factors, including eyes, devices, and environment …
Automated detection of COVID-19 using chest X-ray images and CT scans through multilayer-spatial convolutional neural networks
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has
caused overwhelming effects on the human lives and world economy. The detection of the …
caused overwhelming effects on the human lives and world economy. The detection of the …
PixISegNet: pixel‐level iris segmentation network using convolutional encoder–decoder with stacked hourglass bottleneck
In this paper, we present a new iris ROI segmentation algorithm using a deep convolutional
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
Feature extraction and object detection using fast-convolutional neural network for remote sensing satellite image
Feature extraction and object detection face a challenging problem on remote sensing
satellite images. This research paper proposed an effective feature extraction technique …
satellite images. This research paper proposed an effective feature extraction technique …
A multifaceted role of biometrics in online security, privacy, and trustworthy decision making
Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …
issues, has become one of the key directions in digital identity research. Trustworthy human …
Periocular recognition using CNN features off-the-shelf
K Hernandez-Diaz… - … conference of the …, 2018 - ieeexplore.ieee.org
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and
skin. With a surprisingly high discrimination ability, it is the ocular modality requiring the least …
skin. With a surprisingly high discrimination ability, it is the ocular modality requiring the least …
Cross-spectral iris recognition by learning device-specific band
Cross-spectral recognition is still an open challenge in iris recognition. In cross-spectral iris
recognition, there exist distinct device-specific bands between near-infrared (NIR) and …
recognition, there exist distinct device-specific bands between near-infrared (NIR) and …
A comprehensive review on iris image-based biometric system
JJ Winston, DJ Hemanth - Soft Computing, 2019 - Springer
Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …
security, authentication, recognition and faster login access. In solving these real-time …
Complex-valued iris recognition network
In this work, we design a fully complex-valued neural network for the task of iris recognition.
Unlike the problem of general object recognition, where real-valued neural networks can be …
Unlike the problem of general object recognition, where real-valued neural networks can be …
[图书][B] Extracting Malware Threat Patterns on a Mobile Platform
GJK Jakka - 2021 - search.proquest.com
This study focuses on the rapidly increasing frequency of smartphone malware attacks
since2019. Most users have relied on smartphones as they are a rich source of valuable …
since2019. Most users have relied on smartphones as they are a rich source of valuable …