After collecting the scanned images of practical identification licenses, it is attained to more accurate recognition of numbers in the identification licenses. As considering the process speed of the preprocess course for recognition, first, it is divided into eight equal parts of the identification license and then, removed the hologram of correspondent noises. It is run parallel template comparison method and teaming method for the number recognition and in order to extract a simple characteristics of the number the clustering method is used. Also, in case of misrecognized number because of external environment by run parallel with the thinning method, similar each numbers is sectioned by unique characteristics. From the results of number recognition, it is confirmed that the recognition rate of numbers is superior to other Studies.