A MOVING WINDOW CLASSIFIER FOR OFFLINE CHARACTER RECOGNITION
Masudul Hoque, M.C. Fairhurst · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2004
A new classification scheme, primarily aimed at applications in document image processing, is presented. Features are extracted from a partial image and a sub classifier generates scores based on the likelihood of the subimage belonging to the candidate classes. This partial classification is carried out for several overlapping image segments and scores are combined to make the final classification. The scheme shows promising results in OCR applications where high processing speeds are achievable with minimal compromise in the recognition accuracy.