RAPID ANALYTICAL VERIFICATION OF HANDWRITTEN ALPHANUMERIC ADDRESS FIELDS
C.K. Lee, Graham Leedham · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2004
This paper presents a combination of fuzzy system and dynamic analytical model to deal with imprecise data derived from feature extraction in handwritten address images which are compared against postulated addresses for address verification. A dynamic buildingnumber locator is able to locate and recognise the buildingnumber, without knowing exactly where the buildingnumber starts in the candidate address line. The overall system achieved a correct sorting rate of 72.9%, 27.1% rejection rate and 0.0% error rate on a blind test set of 450 cursive handwritten addresses.