Deep learning-based iris segmentation for iris recognition in visible light environment
Existing iris recognition systems are heavily dependent on specific conditions, such as the
distance of image acquisition and the stop-and-stare environment, which require significant …
distance of image acquisition and the stop-and-stare environment, which require significant …
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 …
Iris segmentation in uncooperative and unconstrained environments: state-of-the-art, datasets and future research directions
Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …
ideal conditions during iris image acquisition. In uncooperative and unconstrained …
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 …
GA-based U-Net architecture optimization applied to retina blood vessel segmentation
Blood vessel extraction in digital retinal images is an important step in medical image
analysis for abnormality detection and also obtaining good retinopathy diabetic diagnosis; …
analysis for abnormality detection and also obtaining good retinopathy diabetic diagnosis; …
CNN‐based off‐angle iris segmentation and recognition
E Jalilian, M Karakaya, A Uhl - IET Biometrics, 2021 - Wiley Online Library
Accurate segmentation and parameterisation of the iris in eye images still remain a
significant challenge for achieving robust iris recognition, especially in off‐angle images …
significant challenge for achieving robust iris recognition, especially in off‐angle images …
[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 …
HNAS: hyper neural architecture search for image segmentation
Deep learning is a well suited approach to successfully address image processing and there
are several Neural Networks architectures proposed on this research field, one interesting …
are several Neural Networks architectures proposed on this research field, one interesting …
Iris recognition supported best gabor filters and deep learning cnn options
S Thakkar, C Patel - 2020 International Conference on Industry …, 2020 - ieeexplore.ieee.org
Proposed Method we have created iris recognition using neural network. Purpose of iris is
for rareness and authentication. Vision of smart city leads to strong security system to …
for rareness and authentication. Vision of smart city leads to strong security system to …
Efficient Unconstrained Iris Recognition System Based on CCT‐Like Mask Filter Bank
In this paper, a new personal identification method based on unconstrained iris recognition
is presented. We apply a nontraditional step for feature extraction where a new circular …
is presented. We apply a nontraditional step for feature extraction where a new circular …