scholarly journals Peer Review #1 of "Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images (v0.1)"

2020 ◽  
Keyword(s):  
Neural Networks ◽  
Peer Review ◽  
Convolutional Neural Networks ◽  
Biometric Identification ◽  
Identification System ◽  
Finger Vein ◽  
Face Images

Hand Gesture Identification System Using Convolutional Neural Networks

2021 ◽  
Author(s):  
Siddhartha Arjaria ◽  
Riya Sahu ◽  
Sejal Agrawal ◽  
Suyash Khare ◽  
Yashi Agarwal ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Hand Gesture ◽  
Identification System

scholarly journals Finger Vein Verification Techniques using Convolutional Neural Networks

2020 ◽  
Vol 9 (1) ◽  
pp. 1514-1519
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Early Stage ◽  
User Authentication ◽  
Identity Verification ◽  
Finger Vein ◽  
Stage Of Development ◽  
Vein Recognition ◽  
Verification Techniques ◽  
Finger Vein Recognition

Finger vein beneath our skin is one of the unique features for identifying an individual. Because of its uniqueness and security the finger vein recognition is considered as a powerful biometric identifier for user authentication. Several techniques have been evolved for finger vein recognition from its early stage of development, but majority approaches were based on hand crafted features which had limitations on quality of the image, positioning of the finger etc. The emergence of neural networks led to the development of various Convolutional Neural Networks (CNN) based approaches for identity verification. This paper surveys various finger vein verification techniques using CNN and determines the factors that will affect the final result. Publicly available finger vein datasets as well as user designed ones, which are of different qualities, are used for the experimental analysis of these techniques. Though CNN is used in all the cases each one differs in the number of layers used, weight updating methods, results obtained etc. It is found that higher recognition accuracy and lower equal error rate (EER) makes the finger vein verification system an effective one. This field has emerged wide popularity recently and is used in different applications where security is of prime importance

Toward improving ECG biometric identification using cascaded convolutional neural networks

2020 ◽  
Vol 391 ◽  
pp. 83-95 ◽  
Author(s):  
Yazhao Li ◽  
Yanwei Pang ◽  
Kongqiao Wang ◽  
Xuelong Li
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Biometric Identification

Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks

The Analyst ◽  
2019 ◽  
Vol 144 (21) ◽  
pp. 6438-6446
Author(s):  
Hideaki Kanayama ◽  
Te Ma ◽  
Satoru Tsuchikawa ◽  
Tetsuya Inagaki
Keyword(s):  
Neural Networks ◽  
Species Identification ◽  
Hyperspectral Imaging ◽  
Convolutional Neural Networks ◽  
Wood Species ◽  
Near Infrared ◽  
Wood Properties ◽  
Identification System ◽  
Illegal Logging ◽  
System P

From the viewpoint of combating illegal logging and examining wood properties, there is a contemporary demand for a wood species identification system.

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