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It is the euclidean distance between the test face and the closest face in DB. As I know it is not the optimal measure to get the distance.

This parameter checks how similar the input image is to each training image, and finds the most similar one: the one with the least distance in Euclidean Space. As mentioned in the Servo Magazine article, you might get better results if you use the Mahalanobis space (define USE_MAHALANOBIS_DISTANCE in the code). Reference

It is the euclidean distance between the test face and the closest face in DB. As I know it is not the optimal measure to get the distance.

This parameter checks how similar the input image is to each training image, and finds the most similar one: the one with the least distance in Euclidean Space. As mentioned in the Servo Magazine article, you might get better results if you use the Mahalanobis space (define USE_MAHALANOBIS_DISTANCE in the code). Reference