Handwritten character recognition using monotonic and continuous two-dimensional warping
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper, 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.Keywords
This publication has 11 references indexed in Scilit:
- Handprinted Kanji character recognition based on flexible template matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A monotonic and continuous two-dimensional warping based on dynamic programmingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Effect of the perturbed correlation method for optical character recognitionPattern Recognition, 1997
- Off-line, handwritten numeral recognition by perturbation methodPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Representation and recognition of handwritten digits using deformable templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- A handwritten character recognition system using hierarchical displacement extraction algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Keyword spotting in poorly printed documents using pseudo 2-D hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Dynamic planar warping for optical character recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988
- Dynamic programming algorithm optimization for spoken word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978