Towards more discriminative and robust iris recognition by learning uncertain factors
The uncontrollable acquisition process limits the performance of iris recognition. In the
acquisition process, various inevitable factors, including eyes, devices, and environment …
acquisition process, various inevitable factors, including eyes, devices, and environment …
Complex-valued iris recognition network
In this work, we design a fully complex-valued neural network for the task of iris recognition.
Unlike the problem of general object recognition, where real-valued neural networks can be …
Unlike the problem of general object recognition, where real-valued neural networks can be …
Contextual measures for iris recognition
The iris patterns of the human contain a large amount of randomly distributed and irregularly
shaped microstructures. These microstructures make the human iris informative biometric …
shaped microstructures. These microstructures make the human iris informative biometric …
Navigable proximity graph-driven native hybrid queries with structured and unstructured constraints
As research interest surges, vector similarity search is applied in multiple fields, including
data mining, computer vision, and information retrieval.{Given a set of objects (eg, a set of …
data mining, computer vision, and information retrieval.{Given a set of objects (eg, a set of …
Eyepad++: A distillation-based approach for joint eye authentication and presentation attack detection using periocular images
A practical eye authentication (EA) system targeted for edge devices needs to perform
authentication and be robust to presentation attacks, all while remaining compute and …
authentication and be robust to presentation attacks, all while remaining compute and …
Second-order convolutional networks for iris recognition
L Jia, X Shi, Q Sun, X Tang, P Li - Applied Intelligence, 2022 - Springer
Iris recognition in less constrained environments is challenging as the images taken therein
contain severe noisy factors. How to represent iris texture for accurate and robust …
contain severe noisy factors. How to represent iris texture for accurate and robust …
A generic framework for deep incremental cancelable template generation
In a post-COVID-19 world, extensive study of deep learning-based biometric authentication
techniques prompts the need to secure them. Further, the biometric data is assumed to be …
techniques prompts the need to secure them. Further, the biometric data is assumed to be …
Real-time human authentication system based on iris recognition
Biometrics deals with the recognition of humans based on their unique physical
characteristics. It can be based on face identification, iris, fingerprint and DNA. In this paper …
characteristics. It can be based on face identification, iris, fingerprint and DNA. In this paper …
Elephant herding with whale optimization enabled ORB features and CNN for Iris recognition
G Babu, PA Khayum - Multimedia Tools and Applications, 2022 - Springer
Iris biometrics is one of the frequently used biometrics for security purposes, and it provides
the appropriate tools for identifying humans. Deep learners when used along with iris …
the appropriate tools for identifying humans. Deep learners when used along with iris …
Multitask deep active contour-based iris segmentation for off-angle iris images
Iris recognition has been considered as a secure and reliable biometric technology.
However, iris images are prone to off-angle or are partially occluded when captured with …
However, iris images are prone to off-angle or are partially occluded when captured with …