IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors
The recent advancements in computer vision have opened new horizons for deploying
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
Robust iris segmentation method based on a new active contour force with a noncircular normalization
MAM Abdullah, SS Dlay, WL Woo… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Traditional iris segmentation methods give good results when the iris images are taken
under ideal imaging conditions. However, the segmentation accuracy of an iris recognition …
under ideal imaging conditions. However, the segmentation accuracy of an iris recognition …
Liver segmentation with new supervised method to create initial curve for active contour
A Zareei, A Karimi - Computers in Biology and Medicine, 2016 - Elsevier
The liver performs a critical task in the human body; therefore, detecting liver diseases and
preparing a robust plan for treating them are both crucial. Liver diseases kill nearly 25,000 …
preparing a robust plan for treating them are both crucial. Liver diseases kill nearly 25,000 …
Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
M Kumar, P Nallagownden, I Elamvazuthi - Energies, 2017 - mdpi.com
In recent years, renewable types of distributed generation in the distribution system have
been much appreciated due to their enormous technical and environmental advantages …
been much appreciated due to their enormous technical and environmental advantages …
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 …
[HTML][HTML] Robust and Swift Iris Recognition at distance based on novel pupil segmentation
One of the most common and successful biometric frameworks is iris recognition, which has
yielded promising results in systems of access control and identity authentication. Recent …
yielded promising results in systems of access control and identity authentication. Recent …
Local chan-vese segmentation for non-ideal visible wavelength iris images
Iris segmentation becomes a challenging task for non-ideal iris shape captured under visible
wavelength environment. In this paper, we proposed a localized active contour model for iris …
wavelength environment. In this paper, we proposed a localized active contour model for iris …
[PDF][PDF] GPU implementation of sub-iris technique in iris recognition system
Iris recognition has become a widely popular biometric system. The stable textures and
features of the human iris have made such biometric systems efficient and accurate for …
features of the human iris have made such biometric systems efficient and accurate for …
On the performance improvement of non-cooperative iris biometrics using segmentation and feature selection techniques
In this work, an improved segmentation methodology and a novel statistical dependency-
based backward feature selection algorithm are proposed. From the input eye image, iris …
based backward feature selection algorithm are proposed. From the input eye image, iris …
Iris segmentation using adaptive histogram equalization and median filtering
AI Mozumder, SA Begum - 2015 International Symposium on …, 2015 - ieeexplore.ieee.org
The personal identification based on Iris biometric is one of the most suitable and reliable
methods with respect to performance and accuracy. However, the reliability and accuracy of …
methods with respect to performance and accuracy. However, the reliability and accuracy of …