protocols that are capable of describing both the quality and the
quantity aspects of detection results. In this paper we propose
a novel visual representation and evaluation tool that captures the
whole nature of a detector by using histograms. First, two histograms
(coverage and accuracy) are generated to visualize the different
characteristics of a detector. Secondly, we compare these two
histograms to a so called optimal one to compute representative
and comparable scores. To do so, we introduce the usage of the
Earth Mover's Distance as a reliable evaluation tool to estimate recall
and precision scores. Results obtained on the ICDAR 2013 dataset
show that this method intuitively characterizes the accuracy of a
text detector and gives at a glance various useful characteristics
of the analyzed algorithm.