Source code is under src and my images are in run. The document report.pdf is my paper on the topic, produced using LaTeX in the report folder.

This paper presents a linear algebra method for pattern recognition. Singular value decomposition is used to distinguish single handwritten digits. I implement a method for giving test images to the program and examine the goodness of recognition when accounting for different number of variations in the training data.

Go to src

>> cd [your-path-to-svd]/SVD-pattern-recognition-master/src/

Run main.m

>> main

Welcome! This is the pattern recignition bot beep boop
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Write "test" for testing one number or "graph" for data collection: graph
Filename of your digit image: image3.png
Integer value for cut-off parameter k: 30

or

Welcome! This is the pattern recignition bot beep boop
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Write "test" for testing one number or "graph" for data collection: test
Filename of your digit image or "r" for a random number: r
Integer value for cut-off parameter k: 20

• The first time the program is run a variable named U should not exist in the workspace (save your work and start off with a clean slate clear; clc).
• The training data U takes approximately 30 seconds to finish, its size is ~30Mb.
• Going forward or rather running the recognition multiple times the U will not be recalculated since the program checks for its existance in the base worksapce.

The run/ folder contain readily available test .png images and you can create your own in any old graphics editor.

• Square shaped: height px = width px
• White background: rgb(255,255,255)
• Black digit: rgb(0,0,0)
• Placement: In the run/ folder!

>> main
Welcome! This is the pattern recignition bot beep boop
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Write "test" for testing one number or "graph" for data collection: test
Filename of your digit image or "r" for a random number: image7.png
Integer value for cut-off parameter k: 42
Relative residual = 0.44336
Predicted number = 7

This is what the input image looked like:

And this is how my pattern recognition program interprets it so that it can be compared with the NIST data:

Now plotting relative residual vs parameter k:

>> main
Welcome! This is the pattern recignition bot beep boop
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Write "test" for testing one number or "graph" for data collection: graph
Filename of your digit image: image7.png
Integer value for cut-off parameter k: 30