A comprehensive study on cross-view gait based human identification with deep cnns
This paper studies an approach to gait based human identification via similarity learning by
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view …
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view …
Pattern mining approaches used in sensor-based biometric recognition: a review
Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …
and assessment of individuals. Pattern mining techniques have established a critical step in …
Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 papers, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition
Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …
challenges many existing iris segmentation methods. To address this problem, this paper …
Accurate iris segmentation in non-cooperative environments using fully convolutional networks
Conventional iris recognition requires controlled conditions (eg, close acquisition distance
and stop-and-stare scheme) and high user cooperation for image acquisition. Non …
and stop-and-stare scheme) and high user cooperation for image acquisition. Non …
Attention guided U-Net for accurate iris segmentation
Iris segmentation is a critical step for improving the accuracy of iris recognition, as well as for
medical concerns. Existing methods generally use whole eye images as input for network …
medical concerns. Existing methods generally use whole eye images as input for network …
Deep feature fusion for iris and periocular biometrics on mobile devices
The quality of iris images on mobile devices is significantly degraded due to hardware
limitations and less constrained environments. Traditional iris recognition methods cannot …
limitations and less constrained environments. Traditional iris recognition methods cannot …
Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition
This paper describes the winning algorithm we submitted to the recent NICE. I iris
recognition contest. Efficient and robust segmentation of noisy iris images is one of the …
recognition contest. Efficient and robust segmentation of noisy iris images is one of the …
OSIRIS: An open source iris recognition software
In this paper, we present the evolution of the open source iris recognition system OSIRIS
through its more relevant versions: OSIRISV2, OSIRISV4, and OSIRISV4. 1. We developed …
through its more relevant versions: OSIRISV2, OSIRISV4, and OSIRISV4. 1. We developed …
Iris segmentation using geodesic active contours
The richness and apparent stability of the iris texture make it a robust biometric trait for
personal authentication. The performance of an automated iris recognition system is affected …
personal authentication. The performance of an automated iris recognition system is affected …