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

A Deep Learning-based Human Identification System with Wi-Fi CSI Data Augmentation

IEEE Access ◽

10.1109/access.2021.3092435 ◽

2021 ◽

pp. 1-1

Author(s):

Hyunggeun Mo ◽

Seungku Kim

Keyword(s):

Deep Learning ◽

Data Augmentation ◽

Human Identification ◽

Identification System

Deep-WiID: WiFi-Based Contactless Human Identification via Deep Learning

2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) ◽

10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00179 ◽

2019 ◽

Author(s):

Zhiyi Zhou ◽

Chang Liu ◽

Xingda Yu ◽

Cong Yang ◽

Pengsong Duan ◽

...

Keyword(s):

Deep Learning ◽

Human Identification

A Novel Approach for ECG-Based Human Identification Using Spectral Correlation and Deep Learning

IEEE Transactions on Biometrics Behavior and Identity Science ◽

10.1109/tbiom.2019.2947434 ◽

2020 ◽

Vol 2 (1) ◽

pp. 1-14 ◽

Cited By ~ 5

Author(s):

Sara S. Abdeldayem ◽

Thirimachos Bourlai

Keyword(s):

Deep Learning ◽

Human Identification ◽

Spectral Correlation ◽

Novel Approach

PulsePrint: Single-arm-ECG biometric human identification using deep learning

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) ◽

10.1109/uemcon.2017.8249111 ◽

2017 ◽

Cited By ~ 10

Author(s):

Qingxue Zhang ◽

Dian Zhou ◽

Xuan Zeng

Keyword(s):

Deep Learning ◽

Human Identification

Experiment of ECG Human Identification with Deep Learning Algorithm

Advanced Science Letters ◽

10.1166/asl.2018.12389 ◽

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

Neuroinformatics ◽

10.1007/s12021-018-9362-4 ◽

2018 ◽

Vol 16 (3-4) ◽

pp. 457-471 ◽

Cited By ~ 24

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

10.1109/ismsit52890.2021.9604672 ◽

2021 ◽

Author(s):

Zinah Khalid Jasim Jasim ◽

Alaa Hamid Mohammed ◽

Lina Elwiya ◽

Baraa Dhafer Al-Jabbari ◽

Haitham Alhaji

Keyword(s):

Deep Learning ◽

Human Identification

Deep Learning of Electrocardiography Dynamics for Biometric Human Identification in era of IoT

2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) ◽

10.1109/uemcon.2018.8796676 ◽

2018 ◽

Cited By ~ 2

Author(s):

Qingxue Zhang

Keyword(s):

Deep Learning ◽

Human Identification

CSIID: WiFi-based Human Identification via Deep Learning

2019 14th International Conference on Computer Science & Education (ICCSE) ◽

10.1109/iccse.2019.8845356 ◽

2019 ◽

Cited By ~ 1

Author(s):

Ding Wang ◽

Zhiyi Zhou ◽

Xingda Yu ◽

Yangjie Cao

Keyword(s):

Deep Learning ◽

Human Identification

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

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c5185.098319 ◽

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.