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  4. Feature extraction

0.2 Feature extraction

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We start with Vulcan! Here is an original picture for our gesture.

Vulcan

A dog sitting on a bed
The Original "Vulcan" Gesture

Convert image to grayscale.

Grayscale

A dog sitting on a bed
Vulcan converted to grayscale

Filter out noise and convert the image into a binary image.

Binary

A dog sitting on a bed
Binary Form of Vulcan

Label the largest connected component in our image matrix and get the edge of our gesture.

Edge

A dog sitting on a bed
Edge of Vulcan

Get polar form of the edge matrix. Divide the polar form into n(here n=8) equal bins and count number of 1’s(dots) in each bin.

Demo

A dog sitting on a bed
A demonstration of how our algorithm works

Finally, we compare the data we get here with distribution of dots in our training set and get our predicted gesture of this image
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Source:  OpenStax, 2d hand gesture recognition. OpenStax CNX. Dec 19, 2013 Download for free at http://cnx.org/content/col11606/1.1
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