Deep learning for biometrics: A survey
K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …
supervised learning tasks in multiple domains including computer vision, natural language …
Toward unconstrained palmprint recognition on consumer devices: A literature review
As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …
advantages over fingerprints and facial biometrics. Recent improvements in imaging …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Efficient palmprint biometric identification systems using deep learning and feature selection methods
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …
recognition. Recently, most methods in literature adopted deep learning due to their high …
An experimental study of deep convolutional features for iris recognition
S Minaee, A Abdolrashidiy… - 2016 IEEE signal …, 2016 - ieeexplore.ieee.org
Iris is one of the popular biometrics that is widely used for identity authentication. Different
features have been used to perform iris recognition in the past. Most of them are based on …
features have been used to perform iris recognition in the past. Most of them are based on …
Convolutional neural network based feature extraction for iris recognition
MG Alaslani - International Journal of Computer Science & …, 2018 - papers.ssrn.com
Iris is a powerful tool for reliable human identification. It has the potential to identify
individuals with a high degree of assurance. Extracting good features is the most significant …
individuals with a high degree of assurance. Extracting good features is the most significant …
Learning discriminant direction binary palmprint descriptor
Palmprint directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …
Local discriminant direction binary pattern for palmprint representation and recognition
Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …
However, there is no existing work that completely analyzes the essential differences among …
Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning
M Izadpanahkakhk, SM Razavi… - Applied Sciences, 2018 - mdpi.com
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …