How to calculate The classification error rate (E) of iris recognition

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shahrizan jamaludin
评论： Image Analyst 2015-8-29
Hello, How to calculate The classification error rate (E) of iris recognition in this article by using MATLAB? http://www.di.ubi.pt/~hugomcp/doc/ProencaAlexandreNICE1BTAS2007.pdf A lot of articles used this to calculate the segmentation accuracy. I want to compare the segmentation accuracy of two iris images (ground truth & enhanced image) TQ

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Image Analyst
Image Analyst 2015-8-29
What's the question? You should know if it identified the correct individual or not. Whatever rates you want to compute can be determined by the true positive, true negative, false positive, and false negative (TP, TN, FP, FN) numbers. From that you can construct the ROC curve.
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Image Analyst
Image Analyst 2015-8-29
OK, they're not defining ground truth by whether it identified the correct individual based on the iris, but by whether their algorithm matches up pixel for pixel with some other binary image that they call "ground truth" which is possibly some binary image created by someone hand-drawing the boundaries.
So, is there something about the xor() function that you don't understand? Just use it like this:
differentPixels = xor(thisImage, groundTruthImage);
fractionDiffPixels = sum(differentPixels(:)) / numel(differentPixels);

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