In this paper

we apply the N-gram model and the algorithm of Levenshtein Distance to Printed Uygur character recognition post-processing.The recognition errors of the system of Printed Uygur character recognition is a regular pattern

by setting weigh of the recognition errors in the algorithm of Levenshtein Distance based on the comparison and analysis and class of the recognition errors

the correct rate of the recognition were improved.Finally

the results of the experiments indicate that the method can definitely increase the correct rate of the recognition.