A deep learning iris recognition method based on capsule network architecture
T Zhao, Y Liu, G Huo, X Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Iris recognition is one of the most representative identification technologies in biometric
recognition, which is widely used in various fields. Recently, many deep learning methods …
recognition, which is widely used in various fields. Recently, many deep learning methods …
Deep learning for iris recognition: a review
Y Yin, S He, R Zhang, H Chang, X Han… - arxiv preprint arxiv …, 2023 - arxiv.org
Iris recognition is a secure biometric technology known for its stability and privacy. With no
two irises being identical and little change throughout a person's lifetime, iris recognition is …
two irises being identical and little change throughout a person's lifetime, iris recognition is …
Conditional generative adversarial network-based data augmentation for enhancement of iris recognition accuracy
MB Lee, YH Kim, KR Park - IEEE Access, 2019 - ieeexplore.ieee.org
Presently, lots of previous studies on biometrics employ convolutional neural networks
(CNN) which requires a large amount of labeled training data. However, biometric data are …
(CNN) which requires a large amount of labeled training data. However, biometric data are …
Deep learning-based feature extraction in iris recognition: Use existing models, fine-tune or train from scratch?
Modern deep learning techniques can be employed to generate effective feature extractors
for the task of iris recognition. The question arises: should we train such structures from …
for the task of iris recognition. The question arises: should we train such structures from …
Deep learning-based intelligent system for fingerprint identification using decision-based median filter
Fingerprint recognition has emerged as one of the most reliable biometric authentication
methods, owing to its uniqueness and permanence. However, the security and …
methods, owing to its uniqueness and permanence. However, the security and …
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
One weakness of machine-learning algorithms is the need to train the models for a new task.
This presents a specific challenge for biometric recognition due to the dynamic nature of …
This presents a specific challenge for biometric recognition due to the dynamic nature of …
Enhanced iris recognition method by generative adversarial network-based image reconstruction
MB Lee, JK Kang, HS Yoon, KR Park - IEEE Access, 2021 - ieeexplore.ieee.org
Iris recognition is one of the non-contact biometric identification methods that are hygienic
and highly accurate. Iris recognition involves using iris images obtained by a near-infrared …
and highly accurate. Iris recognition involves using iris images obtained by a near-infrared …
A new periocular dataset collected by mobile devices in unconstrained scenarios
Recently, ocular biometrics in unconstrained environments using images obtained at visible
wavelength have gained the researchers' attention, especially with images captured by …
wavelength have gained the researchers' attention, especially with images captured by …
On benchmarking iris recognition within a head-mounted display for ar/vr applications
Augmented and virtual reality is being deployed in different fields of applications. Such
applications might involve accessing or processing critical and sensitive information, which …
applications might involve accessing or processing critical and sensitive information, which …
Survey of Iris Recognition using Deep Learning Techniques
ZR Sami, HK Tayyeh, MS Mahdi - Journal of Al-Qadisiyah for …, 2021 - jqcsm.qu.edu.iq
Deep learning is an effective data mining method that is used to analyze complex, and large
quantities of data accurately and efficiently. In the last few years, the world has gone through …
quantities of data accurately and efficiently. In the last few years, the world has gone through …