Long range iris recognition: A survey
The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to …
visible. An iris recognition system exploits the richness of these textural patterns to …
Towards more accurate iris recognition using deeply learned spatially corresponding features
Z Zhao, A Kumar - … of the IEEE international conference on …, 2017 - openaccess.thecvf.com
This paper proposes an accurate and generalizable deep learning framework for iris
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
Cancellable iris template generation based on indexing-first-one hashing
Eye iris has been widely recognized as one of the strongest biometrics attributed to its high
accuracy performance. However, templates in conventional iris recognition systems are …
accuracy performance. However, templates in conventional iris recognition systems are …
Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
In recent years, renewable types of distributed generation in the distribution system have
been much appreciated due to their enormous technical and environmental advantages …
been much appreciated due to their enormous technical and environmental advantages …
A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping
R Dwivedi, S Dey, R Singh, A Prasad - Computers & Security, 2017 - Elsevier
Biometric-based recognition systems have overcome passive issues of traditional human
authentication systems. However, security theft and privacy invasion are two passive issues …
authentication systems. However, security theft and privacy invasion are two passive issues …
A code-level approach to heterogeneous iris recognition
Matching heterogeneous iris images in less constrained applications of iris biometrics is
becoming a challenging task. The existing solutions try to reduce the difference between …
becoming a challenging task. The existing solutions try to reduce the difference between …
Binary online learned descriptors
We propose a novel approach to generate a binary descriptor optimized for each image
patch independently. The approach is inspired by the linear discriminant embedding that …
patch independently. The approach is inspired by the linear discriminant embedding that …
On the feasibility of creating morphed iris-codes
Morphing techniques can be used to create artificial biometric samples, which resemble the
biometric information of two (or more) individuals in image and feature domain. If morphed …
biometric information of two (or more) individuals in image and feature domain. If morphed …
3D palmprint recognition using shape index representation and fragile bits
B Yang, X Xiang, D Xu, X Wang, X Yang - Multimedia Tools and …, 2017 - Springer
Recent years have witnessed a growing interesting in developing automatic palmprint
recognition methods. Most of the previous works have concentrated on two dimensional …
recognition methods. Most of the previous works have concentrated on two dimensional …
Iris recognition using class-specific dictionaries
In this research, the concept of class-specific dictionaries is proposed for iris recognition.
Essentially, the query image is represented as a linear combination of training images from …
Essentially, the query image is represented as a linear combination of training images from …