Pattern Recognition

Human can easily identify objects and we've been able to do this by looking for object features or patterns like color, shape, size, etc. The process of identifying objects through the use of computer is of major interest in Pattern Recognition. To be able to imitate this complex ability of humans would be amazing. In the next generations, we will have our computers do everything for us.

In pattern recognition, two steps are involved - feature extraction and classification. Choosing the feature of the object is crucial for distinguishing it from the set of classes. I choose the set of cereals with the three classes: honey gold flakes, koko krunch and honey stars. The feature that obviously differentiate the three classes is the color. Actually, it's been hard for me to choose my classes. It's either not good for classification or been taken already by my classmates.

Figure below presents the training set.

Figure below shows the plot of features of the cereals based on color (red and green chromaticity value). The X marks represent the mean points of each class. 

Now for the test set, the comparison of the distance measurement will be able to classify the cereal. The one having shortest distance from the test object will be the predicted class. Table below shows the predictions. 

Out of 9 test objects, 7 were correctly predicted, that is 77.8 % accuracy. Color feature were fairly enough to differentiate the cereals however, I think the prediction would be more accurate if more features were extracted like the eccentricity since the stars would have big difference on the eccentricity of the circle cereals. However, I lack the time to do another feature extraction so I sincerely apologize for disappointing my readers. :P 

I give myself a grade of 9/10 for at least doing the objective of the activity even I only extract one feature which is the color. 

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References

[1] Marcos, S. and Soriano, M. "A14 – Pattern Recognition 1." AP 186 Laboratory Manual. National Institute of Physics, University of the Philippines, Diliman. 2013.

the following sites are where the cereals pictures are taken
http://breakfastlullaby.blogspot.com/2012/11/nestle-honey-gold-flakes.html

http://www.seriouseats.com/2012/07/3-cereals-from-singapore.html
http://fun-fanie.blogspot.com/2011/01/di-saat-kehamilan-begini-makanan-yang.html
http://wayfaringchocolate.com/2012/03/29/march-bits-and-bobs-pancakes-asian-sweets-and-advice-we-
http://nicolekissdiet.blogspot.com/2008/02/koko-krunch-duo.html