Abstract
A handwritten character recognition experiment using a monotonic and continuous two-dimensional warping algorithm is reported. This warping algorithm is based on dynamic programming and searches for the optimal pixel-to-pixel mapping between given two images subject to two-dimensional monotonicity and continuity constraints. Experimental comparisons with rigid matching and local perturbation show the performance superiority of the monotonic and continuous warping in character recognition.
Original language | English |
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Pages (from-to) | 93-98 |
Number of pages | 6 |
Journal | Research Reports on Information Science and Electrical Engineering of Kyushu University |
Volume | 5 |
Issue number | 1 |
Publication status | Published - Mar 1 2000 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Electrical and Electronic Engineering