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Solving simple problems using
Neural Network
Mark
Nguyen
Neural Network
Contents
I. Face recognition using single layer neural network
1. Database
2. Source code
3. Result
II. Face recognition using deep neural network
III. Spoof fingerprint detection using convolution neural network
Face Recognition using single layer NN
•
ten different images of each of 40 distinct
subjects
•
the images were taken at different times,
varying the lighting, facial expressions and
facial details
•
the size of each image is 92x112 pixels, with
256 grey levels per pixel
Examples
Source Code
results
Face Recognition using deep NN
Face Recognition using deep NN
•
First 6 images of each subject are used
to train the network
•
Multiclass classification
Source code
Autoencoders
Multiclass classification results
Machine learning
Machine learningFeature
presentation
Convolution
Alexnet
“We trained a large,
deep convolutional
neural network to
classify the 1.2
million high-
resolution images in
the ImageNet
LSVRC-2010 contest
into the 1000
different classes”
Spoof fingerprint detection using
Convolutional Neural Network
Dataset
•
4 Different fingerprint sensors
•
5 different spoof fingerprint
materials
Source code
Result
Thank you

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Solving Simple Problems With Neural Networks presented by Mark Nguyen.