A review of biometric technology along with trends and prospects
Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …
possession based methods. A wide variety of biometric modalities have been tested so far …
Ocular biometrics: A survey of modalities and fusion approaches
Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …
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 …
[PDF][PDF] An initial assessment of aspect-oriented programming
RJ Walker, ELA Baniassad, GC Murphy - Proceedings of the 21st …, 1999 - dl.acm.org
The principle of separation of concerns has long been used by software engineers to
manage the complexity of software system development. Programming languages help …
manage the complexity of software system development. Programming languages help …
Conditional generative adversarial network-based data augmentation for enhancement of iris recognition accuracy
MB Lee, YH Kim, KR Park - IEEE Access, 2019 - ieeexplore.ieee.org
Presently, lots of previous studies on biometrics employ convolutional neural networks
(CNN) which requires a large amount of labeled training data. However, biometric data are …
(CNN) which requires a large amount of labeled training data. However, biometric data are …
Toward covert iris biometric recognition: Experimental results from the NICE contests
H Proenca, LA Alexandre - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
This paper announces and discusses the experimental results from the Noisy Iris Challenge
Evaluation (NICE), an iris biometric evaluation initiative that received worldwide participation …
Evaluation (NICE), an iris biometric evaluation initiative that received worldwide participation …
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 …
Convolutional neural networks for ocular smartphone-based biometrics
Ocular biometrics in the visible spectrum has emerged as an area of significant research
activity. In this paper, we propose a hybrid convolution-based model, for verifying a pair of …
activity. In this paper, we propose a hybrid convolution-based model, for verifying a pair of …
The results of the NICE. II iris biometrics competition
KW Bowyer - Pattern Recognition Letters, 2012 - Elsevier
The second phase of the Noisy Iris Challenge Evaluation attracted participation by 67
research groups from around the world. In contrast to all current commercial Iris biometrics …
research groups from around the world. In contrast to all current commercial Iris biometrics …
The impact of preprocessing on deep representations for iris recognition on unconstrained environments
The use of iris as a biometric trait is widely used because of its high level of distinction and
uniqueness. Nowadays, one of the major research challenges relies on the recognition of …
uniqueness. Nowadays, one of the major research challenges relies on the recognition of …