Boosting OCR Classifier by Optimal Edge Noise Filtering
Júnior Barrera, Marcel Brun, Routo Terada, Edward R. Dougherty · Kluwer Academic Publishers eBooks · 2005
The problem of Optical Character Recognition (OCR) can be solved by set operators implemented as programs for a Morphological Machine (MMach). In this paper, we present two techniques to boost such programs: (1) Anchoring and (2) Edge Noise Filtering by Stamp. The power of these techniques is demonstrated by some impressive experimental results.