In this challenge, we aim to benchmark the performance of iris segmentation on NIR iris images from Asian and African people captured in non-cooperative environments.
Spectacles reflection removal is a challenging problem in iris recognition research. The reflection of the spectacles usually contaminates the iris image acquired under infrared illumination. The intense light reflection caused by the active light …
Cross-database recognition is still an unavoidable challenge when deploying an iris recognition system to a new environment. In the paper, we present a compromise problem that resembles the real-world scenario, named iris recognition with …
Biometrics, such as face, iris, and fingerprint recognition, have become digital identity proof for people to enter the “Internet of Everything” . For example, one may be asked to present the biometric identifier for unlocking mobile, passing access …
Zhang published paper, All-in-Focus Iris Camera With a Great Capture Volume, wins the PC chairs choice best paper award runner-Up at the 2020 International Joint Conference on Biometrics (IJCB 2020).
This paper proposes a novel, lightweight deep convolutional neural network specifically designed for iris segmentation of noisy images acquired by mobile devices. Unlike previous studies, which only focused on improving the accuracy of segmentation …
Light-field (LF) imaging is a new method to capture both intensity and direction information of visual objects, providing promising solutions to biometrics. Iris recognition is a reliable personal identification method, however it is also vulnerable …
Imaging volume of an iris recognition system has been restricting the throughput and cooperation convenience in biometric applications. Numerous improvement trials are still impractical to supersede the dominant fixed-focus lens in stand-off iris …
A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject. To ensure that the recognition algorithm is not affected by low-quality images, traditional …