Off-line recognition of handwritten cursive script for the automatic reading of city names on real mail

The automatic reading of unconstrained cursive city names written on real mail is considered. An analytical approach is described which first achieves an explicit segmentation of cursive words. The results after crosschecking of the zip code and the city name are a 61.7% efficiency rate and a 1.3 confusion rate, which allow operational implementation. >