The Kansas City Machine Learning Group hosted a presentation by Mark Nguyen on the use of Machine Learning and Neural Networks for image recognition and fingerprint detection. An attachment of his presentation is below.
3. 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
4. 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
16. 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”