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 …
FA-GAN: Face augmentation GAN for deformation-invariant face recognition
Substantial improvements have been achieved in the field of face recognition due to the
successful application of deep neural networks. However, existing methods are sensitive to …
successful application of deep neural networks. However, existing methods are sensitive to …
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 …
Deepiris: Iris recognition using a deep learning approach
S Minaee, A Abdolrashidi - arXiv preprint arXiv:1907.09380, 2019 - arxiv.org
Iris recognition has been an active research area during last few decades, because of its
wide applications in security, from airports to homeland security border control. Different …
wide applications in security, from airports to homeland security border control. Different …
Classification and identification of tomato leaf disease using deep neural network
A Batool, SB Hyder, A Rahim, N Waheed… - … on Engineering and …, 2020 - ieeexplore.ieee.org
Agricultural productivity is something on which the economy highly depends. In addition to
this, plant diseases and pests are a major problem in the agricultural sector. Their detection …
this, plant diseases and pests are a major problem in the agricultural sector. Their detection …
Fingernet: Pushing the limits of fingerprint recognition using convolutional neural network
Fingerprint recognition has been utilized for cellphone authentication, airport security and
beyond. Many different features and algorithms have been proposed to improve fingerprint …
beyond. Many different features and algorithms have been proposed to improve fingerprint …
Robust face descriptor in unconstrained environments
S Karanwal - Expert Systems with Applications, 2024 - Elsevier
This research paper presents the novel face recognition (FR) approach by introducing the
novel descriptor so-called directional binary pattern (DBP). The directional features are …
novel descriptor so-called directional binary pattern (DBP). The directional features are …
[PDF][PDF] Transfer learning with convolutional neural networks for iris recognition
MG Alaslni, LA Elrefaei - Int. J. Artif. Intell. Appl, 2019 - researchgate.net
Iris is one of the common biometrics used for identity authentication. It has the potential to
recognize persons with a high degree of assurance. Extracting effective features is the most …
recognize persons with a high degree of assurance. Extracting effective features is the most …
Eccentricity based kinship verification from facial images in the wild
Kinship verification from facial images in the wild is a promising research aiming to identify
whether a facial image pair shares kinship relation by analyzing face structures. This paper …
whether a facial image pair shares kinship relation by analyzing face structures. This paper …
Systematic evaluation of deep face recognition methods
Face recognition is an important task in both academia and industry. With the development
of deep convolutional neural networks, many deep face recognition methods have been …
of deep convolutional neural networks, many deep face recognition methods have been …