Computational workload in biometric identification systems: an overview
The computational workload is one of the key challenges in biometric identification systems.
The naïve retrieval method based on an exhaustive search becomes impractical with the …
The naïve retrieval method based on an exhaustive search becomes impractical with the …
A deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features
Z Zhao, A Kumar - Pattern Recognition, 2019 - Elsevier
This paper proposes a deep learning based unified and generalizable framework for
accurate iris detection, segmentation and recognition. The proposed framework firstly …
accurate iris detection, segmentation and recognition. The proposed framework firstly …
Template protection based on homomorphic encryption: Computationally efficient application to iris-biometric verification and identification
J Kolberg, P Bauspieß… - … and Security (WIFS), 2019 - ieeexplore.ieee.org
When employing biometric recognition systems, we have to take into account that biometric
data are considered sensitive data. This has raised some privacy issues, and therefore …
data are considered sensitive data. This has raised some privacy issues, and therefore …
Cryptographic authentication from the iris
S Simhadri, J Steel, B Fuller - International Conference on Information …, 2019 - Springer
Biometrics exhibit noise between repeated readings. Due to the noise, devices store a
plaintext template of the biometric. This stored template is an appetizing target for an …
plaintext template of the biometric. This stored template is an appetizing target for an …
NIR and VW iris image recognition using ensemble of patch statistics features
A novel iris recognition system is proposed in this paper. The proposed system is able to
handle various challenging issues which may occur during image acquisition in near …
handle various challenging issues which may occur during image acquisition in near …
Eye image selection
A Kaehler - US Patent 10,466,778, 2019 - Google Patents
Abstract Systems and methods for eye image set selection, eye image collection, and eye
image combination are described. Embodiments of the systems and methods for eye image …
image combination are described. Embodiments of the systems and methods for eye image …
Adversarial examples to fool iris recognition systems
Adversarial examples have recently proven to be able to fool deep learning methods by
adding carefully crafted small perturbation to the input space image. In this paper, we study …
adding carefully crafted small perturbation to the input space image. In this paper, we study …
Non-deterministic approach to allay replay attack on iris biometric
Biometric-based verification system has emerged as a powerful authentication tool. Despite
its advantages over traditional systems, it is prone to several attacks. These attacks may …
its advantages over traditional systems, it is prone to several attacks. These attacks may …
Iris localization for direction and deformation independence based on polynomial curve fitting and singleton expansion
In an authentic biometric system, iris recognition aims to detect the iris pattern of a person.
The single unique pattern of the human iris may be extracted from the image and encoded …
The single unique pattern of the human iris may be extracted from the image and encoded …
Convolutional neural network based eye recognition from distantly acquired face images for human identification
Eye image recognition from a face image acquired at a distant is a promising physical
biometric technique to use for human identification. This contemporary field of research …
biometric technique to use for human identification. This contemporary field of research …