An approach to locate the identification code of train wagons from digital videos

This paper presents a method for the location of the identification code of train wagons from digital videos. For this purpose, thresholding and multithresholding based techniques combined with edge detectors, mathematical morphology and filtering by compacity factor are used to segment each video frame, locate the connected components, identify the text-block candidates, and filter them. This combination of different techniques makes the proposed approach promising to locate the identification code in wagons of different formats and presenting a bad maintenance. Experimental results on more than 2500 video frames containing 116 different codes have shown that the proposed method may reach about 85% of correct code location.