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 …
C Rathgeb, A Uhl, P Wild - 2012 - books.google.com
Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image …
Recently, iris recognition techniques have achieved great performance in identification. Among authentication techniques, iris recognition systems have received attention very …
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 …
Iris recognition is a very reliable biometric modality for human identification. The immutable and unique characteristics of the iris are the foundations for that claim. Currently, research …
A Radman, K Jumari, N Zainal - IET Image Processing, 2013 - Wiley Online Library
Design a fast and reliable iris segmentation algorithm for less constrained iris images is essential to build a robust iris recognition system. Daugman's integrodifferential operator …
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 …
Gait features have been widely applied in human identification. The commonly-used representations for gait recognition can be roughly classified into two categories: model-free …
Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns. However, as reported by recent …