On the Use of Score Ratio with Distance-Based Classifiers in Biometric Signature Recognition

Using the score ratio with distance-based classifiers: A theoretical and practical study in biometric signature recognition

“…This was done so as to obtain a large and significant test set (183 elements) and a large ( H = 150 elements) cohort set. From the results in [6] , testing a cohort set size of 150 elements is not necessary, since the results do not improve those achieved with H = 50 and H = 100 . As a result, this size is not tested here.…”

“…The corpus was split into three different subsets, as in [6] , but in a different and more realistic way, since the three subsets are completely independent here. In [6] , the elements from the cohort set not selected to perform the score ratio (i.e., those different from the N with the lower scores) were used for score normalization. This was done so as to obtain a large and significant test set (183 elements) and a large ( H = 150 elements) cohort set.…”

“…In [6] , an initial approach to this proposal was successfully made, showing that use of the score ratio in biometric systems based on distance classifiers can improve the system. In other words, it can be an interesting alternative.…”

“…1. Firstly, the same score ratio "basic approach" as in [6] is tested, but following a more realistic ( Section 6.3 ) experimental setup. 2.…”