Affected by the wearing of frequent usage and variation of environmental brightness

binaried numerical character images of freight train become deformed and incompleted

which are sampled by freight train mark recognizing system under various weather conditions. As traditional methods

for example pattern plate matching

are not effective to extract the character features exactly

a new method called fuzzy-statistic is presented according to which the numerical character' s figure features inside and outside them are extracted by computing their direction routes. By the mean time the fuzzy decision method is drawn on to overcome the indefiniteness during feature extracting. After utilize in some power plant

it appeared that the method is available for character's deformed and incompleted

also high recognized-rate was obtained. The method might be referred to recognize bold printed numerical characters and other courses.