Home What are the main rates and values we should figure to evaluate both feature detection, description and matching?
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What are the main rates and values we should figure to evaluate both feature detection, description and matching?

user666
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user666 Published in May 26, 2018, 9:39 pm

I work on palmprint recognition using feature2D with Open_CV library, and I use algorithms such as SIFT, SURF, ORB... to detect features and extract/match descriptors. My test include (1 vs 1) palmprint and also (1 vs Data Base) of palmprint.

Ones I get the result, I need to evaluate the algorithm, and for this I know that there are some rates or scores (like EER, rank-1 identification, recall and accuracy) which gives an estimation about how much this method was successful. Now I need to know if any of those rates are implemented in Open_CV, and how to use them. If they aren't, what are the different formulas used in the literary.

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