Deep residual CNN-based ocular recognition based on rough pupil detection in the images by NIR camera sensor
Accurate segmentation of the iris area in input images has a significant effect on the
accuracy of iris recognition and is a very important preprocessing step in the overall iris …
accuracy of iris recognition and is a very important preprocessing step in the overall iris …
Unconstrained iris segmentation using convolutional neural networks
The extraction of consistent and identifiable features from an image of the human iris is
known as iris recognition. Identifying which pixels belong to the iris, known as segmentation …
known as iris recognition. Identifying which pixels belong to the iris, known as segmentation …
Iris recognition with image segmentation employing retrained off-the-shelf deep neural networks
This paper offers three new, open-source, deep learning-based iris segmentation methods,
and the methodology how to use irregular segmentation masks in a conventional Gabor …
and the methodology how to use irregular segmentation masks in a conventional Gabor …
CNN-based multimodal human recognition in surveillance environments
JH Koo, SW Cho, NR Baek, MC Kim, KR Park - Sensors, 2018 - mdpi.com
In the current field of human recognition, most of the research being performed currently is
focused on re-identification of different body images taken by several cameras in an outdoor …
focused on re-identification of different body images taken by several cameras in an outdoor …
Sclera-net: Accurate sclera segmentation in various sensor images based on residual encoder and decoder network
RA Naqvi, WK Loh - IEEE Access, 2019 - ieeexplore.ieee.org
Sclera segmentation is revealed to be of noteworthy importance for ocular biometrics. The
paramount step for biometric recognition methods is the segmentation of the area of interest …
paramount step for biometric recognition methods is the segmentation of the area of interest …
Ms-net: Multi-segmentation network for the iris region using deep learning in an unconstrained environment
JR Malgheet, NB Manshor, LS Affendey… - IEEE Access, 2023 - ieeexplore.ieee.org
Iris segmentation is a significant phase in the iris recognition process because segmentation
errors cascade into all subsequent phases. Therefore, it is important that errors in iris …
errors cascade into all subsequent phases. Therefore, it is important that errors in iris …
Thirdeye: Triplet based iris recognition without normalization
Most iris recognition pipelines involve three stages: segmenting into iris/non-iris pixels,
normalization the iris region to a fixed area, and extracting relevant features for comparison …
normalization the iris region to a fixed area, and extracting relevant features for comparison …
A light iris segmentation network
Q Wang, X Meng, T Sun, X Zhang - The Visual Computer, 2022 - Springer
Iris segmentation plays a vital role in the iris recognition system. However, it faces many
challenges in non-ideal situations. To improve the iris segmentation performance for …
challenges in non-ideal situations. To improve the iris segmentation performance for …
A Comparative Study on Recent Trends in Iris Recognition Techniques
With increase in vulnerability of data theft raises the question of protection of the very data.
Other forms of security being obsolescence, a unique way of technology for protecting …
Other forms of security being obsolescence, a unique way of technology for protecting …
Supervised contrastive learning and intra-dataset adversarial adaptation for iris segmentation
Z Zhou, Y Liu, X Zhu, S Liu, S Zhang, Y Li - Entropy, 2022 - mdpi.com
Precise iris segmentation is a very important part of accurate iris recognition. Traditional iris
segmentation methods require complex prior knowledge and pre-and post-processing and …
segmentation methods require complex prior knowledge and pre-and post-processing and …