This paper presents a method for generating morphological template features for use in a word verification system. Word verification is a process of matching an image of a word against a list of candidate strings. The verification process assigns a confidence value to each string. The rank of the correct string is one measure of success. A character by character rank may also be obtained. The paper describes experiments using 20 samples in each of 57 character classes to automatically develop 60 template features for the word verification process. The generation process is guided by a measure of orthogonality between the features. Two slightly different versions of the orthogonality measure are compared. The resulting features are then trained on roughly 67 character samples to form the feature/character statistics. Results of the word verification process using the automatically generated features are compared with earlier results using a set of manually generated features. The principal result is that automatically generated template features perform better than the manually generated features.