Source code: vowel.m, remLet.m,
findLet.m
If you would like to get my templates, please e-mail me at shleyf@cc.gatech.edu
For this project I used morphological operators on the images, with masks carefully chosen by hand, to fit the vowels. I also took time to get rid of the consonants that were confused with vowels. To get rid of the "long tail" letters like d's, l's, f's, b's, y's, etc. I searched for the long stick "l" and got rid of its every occurrence. This trick tremendously simplified vowel processing. I also removed some characteristics of the inclined letters, to remove false hits in the third test.
The image was originally cleaned up using morphological operators.
I then doubled the thickness of each letter using dilation operator on
image with [1 1] matrix. Some letters required more than one mask
to get recognized.
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1) For the first test image I received a 100% accuracy | |
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2) Test number two: 129/130 = 99.23% accuracy, one miss and no false hits. | |
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3) Curved test: 21/29 = 72.41% accuracy with one false hit | |
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4) In class test: 25/31 = 80.65% accuracy with no false hits | |
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