Fingerprint recognition based on collected images using deep learning technology
The fingerprint identification is the most widely used authentication system. The fingerprint
uniqueness for each human being provides error-free identification. However, during the …
uniqueness for each human being provides error-free identification. However, during the …
Integrated different fingerprint identification and classification systems based deep learning
Fingerprint classification plays a fundamental role in fingerprint identification systems
because it dramatically reduces the time spent identifying an individual. This classification …
because it dramatically reduces the time spent identifying an individual. This classification …
[PDF][PDF] The Effect of Changing Targeted Layers of the Deep Dream Technique Using VGG-16 Model.
The deep dream is one of the most recent techniques in deep learning. It is used in many
applications, such as decorating and modifying images with motifs and simulating the …
applications, such as decorating and modifying images with motifs and simulating the …
Robust iris-localization algorithm in non-cooperative environments based on the improved YOLO v4 model
Iris localization in non-cooperative environments is challenging and essential for accurate
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
Janus: Safe biometric deduplication for humanitarian aid distribution
Humanitarian organizations provide aid to people in need. To use their limited budget
efficiently, their distribution processes must ensure that legitimate recipients cannot receive …
efficiently, their distribution processes must ensure that legitimate recipients cannot receive …
A binary classification model of COVID-19 based on convolution neural network
RS Saeed, BKOC Alwawi - Bulletin of Electrical Engineering and …, 2023 - beei.org
The outbreak of the new coronavirus (COVID-19) had resulted in the creation of a disaster
all over the world and it had become a highly acute and severe illness. The prevalence of …
all over the world and it had become a highly acute and severe illness. The prevalence of …
[PDF][PDF] Identification Based on Iris Detection Technique.
Iris-biometrics are an alternative way of authenticating and identifying a person because
biometric identifiers are unique to people. This paper introduces a method aims to efficient …
biometric identifiers are unique to people. This paper introduces a method aims to efficient …
On Designing a SwinIris Transformer Based Iris Recognition System
In this paper, we discuss our proposed unified approach to iris recognition called the
SwinIris. This approach works efficiently when combing a tuned version of the original Swin …
SwinIris. This approach works efficiently when combing a tuned version of the original Swin …
The analysis of Iris image acquisition and real-time detection system using convolutional neural network
The purpose is to explore the effect of iris image acquisition and real-time detection systems
based on Convolutional Neural Network (CNN) and improve the efficiency of iris real-time …
based on Convolutional Neural Network (CNN) and improve the efficiency of iris real-time …
Deep learning model for binary classification of COVID-19 based on Chest X-Ray
COVID-19 is a novel virus infecting the upper respiratory tract and lungs. On a scale of the
global pandemic, the number of cases and deaths had been increasing each day. Chest X …
global pandemic, the number of cases and deaths had been increasing each day. Chest X …