Human identification performed with skull’s sphenoid sinus based on deep learning

2022 ◽  
Author(s):  
Hanjie Wen ◽  
Wei Wu ◽  
Fei Fan ◽  
Peixi Liao ◽  
Hu Chen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Sphenoid Sinus ◽  
Human Identification

Experiment of ECG Human Identification with Deep Learning Algorithm

2018 ◽  
Vol 24 (11) ◽  
pp. 8980-8984
Author(s):  
Tuerxun Waili ◽  
Rizal Mohd Nor ◽  
Abdul Wahab Abdurahman ◽  
Khairul Azami Sidek ◽  
Ayixiamu Litifu
Keyword(s):  
Deep Learning ◽  
Learning Algorithm ◽  
Human Identification ◽  
Deep Learning Algorithm

Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification

2018 ◽  
Vol 16 (3-4) ◽  
pp. 457-471 ◽  
Author(s):  
Wu Liu ◽  
Cheng Zhang ◽  
Huadong Ma ◽  
Shuangqun Li
Keyword(s):  
Deep Learning ◽  
Human Identification ◽  
Gait Features

Human Identification with Finger Vien Image Using Deep Learning

2021 ◽  
Author(s):  
Zinah Khalid Jasim Jasim ◽  
Alaa Hamid Mohammed ◽  
Lina Elwiya ◽  
Baraa Dhafer Al-Jabbari ◽  
Haitham Alhaji
Keyword(s):  
Deep Learning ◽  
Human Identification

scholarly journals Recognition, Classification for Normal, Contact and Cosmetic Iris Images using Deep Learning

2019 ◽  
Vol 8 (3) ◽  
pp. 4334-4340
Keyword(s):  
Deep Learning ◽  
Iris Recognition ◽  
Human Identification ◽  
Processing Technique ◽  
Machine Learning Techniques ◽  
Image Processing Technique ◽  
Learning Networks ◽  
Normal Contact ◽  
Number Of Layers ◽  
Learning Techniques

The identification of the human being using iris based on image processing technique was one of better and older approach in human identification. Then to make human identification process an intelligent one using intelligent algorithms using machine learning techniques to train input images, extract features and classify the features based on classification techniques. The recent technology is enhancing for iris recognition based on deep learning networks, in which deeply train the images with number of layers, so that necessary features are extracted and then classify it and measure various parameters.

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