An automatic reading system for handwritten numeral amounts on French checks
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 92-97
- https://doi.org/10.1109/icdar.1995.598951
Abstract
We present an automatic recognition system applied to handwritten numeral check amounts. This system is based on a segmentation-by-recognition probabilistic model. The application is described from the field amount localization to the hypothesis generation of amounts. An explicit segmentation algorithm determines cut regions on digit links and provides a multiple spatial representation. The best path for the segmentation is determined by the combination of the recognition scores, segmentation weights and the outputs of a probabilistic parser. Training is done by a bootstrapping technique, which significantly improves the performances of the different algorithms. It also allows the use of a reject class at the recognition step. The system was evaluated on 10000 database images to show its robustness.Keywords
This publication has 12 references indexed in Scilit:
- Off-line handwritten word recognition (HWR) using a single contextual hidden Markov modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten wordsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A system for the off-line recognition of handwritten textPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Document image decoding using Markov source modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Neural Networks, Bayesian a posteriori Probabilities, and Pattern ClassificationPublished by Springer Nature ,1994
- Vertex directed segmentation of handwritten numeralsPattern Recognition, 1993
- Segmentation methods for character recognition: from segmentation to document structure analysisProceedings of the IEEE, 1992
- Segmentation-recognition algorithm for zip code field recognitionMachine Vision and Applications, 1992
- Automatic learning of word transducers from examplesPublished by Association for Computational Linguistics (ACL) ,1991
- The viterbi algorithmProceedings of the IEEE, 1973