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A systematic review on physiological-based biometric recognition systems: current and future trends
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …
physiological traits. This article presents recent advances in physiological-based biometric …
Iris recognition development techniques: a comprehensive review
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …
Among authentication techniques, iris recognition systems have received attention very …
[HTML][HTML] Diffractive deep neural networks at visible wavelengths
Optical deep learning based on diffractive optical elements offers unique advantages for
parallel processing, computational speed, and power efficiency. One landmark method is …
parallel processing, computational speed, and power efficiency. One landmark method is …
An end to end deep neural network for iris segmentation in unconstrained scenarios
With the increasing imaging and processing capabilities of today's mobile devices, user
authentication using iris biometrics has become feasible. However, as the acquisition …
authentication using iris biometrics has become feasible. However, as the acquisition …
[HTML][HTML] Palmprint and palmvein recognition based on DCNN and a new large-scale contactless palmvein dataset
Among the members of biometric identifiers, the palmprint and the palmvein have received
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
[HTML][HTML] IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera …
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 …
Fuzzified image enhancement for deep learning in iris recognition
Deep learning techniques such as convolutional neural network and capsule network have
attained good results in iris recognition. However, due to the influence of eyelashes, skin …
attained good results in iris recognition. However, due to the influence of eyelashes, skin …
Exploiting superior CNN-based iris segmentation for better recognition accuracy
CNN-based iris segmentations have been proven to be superior to traditional iris
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …
Deep multi-class eye segmentation for ocular biometrics
Segmentation techniques for ocular biometrics typically focus on finding a single eye region
in the input image at the time. Only limited work has been done on multi-class eye …
in the input image at the time. Only limited work has been done on multi-class eye …
FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation
Iris recognition is now developed enough to recognize a person from a distance. The
process of iris segmentation plays a vital role in maintaining the accuracy of the iris-based …
process of iris segmentation plays a vital role in maintaining the accuracy of the iris-based …