Structural primitive extraction and coding for handwritten numeral recognition
- 1 March 1998
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 31 (5) , 493-509
- https://doi.org/10.1016/s0031-3203(97)00095-2
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Recognition of handwritten numerals with multiple feature and multistage classifierPattern Recognition, 1995
- Handwritten numeral recognition using self-organizing maps and fuzzy rulesPattern Recognition, 1995
- Handwritten digit recognition using an optimized nearest neighbor classifierPattern Recognition Letters, 1994
- Recognition of handwritten digits using template and model matchingPattern Recognition, 1991
- Recognition of handwritten symbolsPattern Recognition, 1990
- Structural classification and relaxation matching of totally unconstrained handwritten zip-code numbersPattern Recognition, 1988
- A high accuracy algorithm for recognition of handwritten numeralsPattern Recognition, 1988
- High accuracy character recognition algorithm using fourier and topological descriptorsPattern Recognition, 1984
- A fast parallel algorithm for thinning digital patternsCommunications of the ACM, 1984