Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition – Comparative Analysis of Methods
In this paper the probabilistic aproach to handwritten words recognition is described. The decision is performed using results of character classification based on a character image analysis and probabilistic lexicon treated as a special kind of soft classifier. The novel approach to combining these both classifiers is proposed, where fusion procedure interleaves soft outcomes of both classifiers so as to obtain the best recognition quality. The proposed algorithms were experimentally investigated and results of recognition of polish handwritten surnames and names are given.
KeywordsWord Recognition Character Recognition Handwritten Character Handwritten Document Handwritten Digit Recognition
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- 5.Sas, J., Kurzynski, M.: Application of Statistic Properties of Letter Succession in Polish Language to Handprint Recognition. In: Proc. 4th Int. Conf. on Computer Recognition Systems, pp. 731–739. Springer, HeidelbergGoogle Scholar
- 6.Sas, J.: Handwritten Laboratory Test Order Form Recognition Module for Distributed Clinic. J. of Medical Informatics and Technologies 8, 59–68 (2004)Google Scholar
- 7.Sas, J.: Three-Level Lexicon Based Handwritten Form Recognition Method. In: Klopotek, M., Tchorzewski, J. (eds.) Proc. VI Int. Conf. on Artificial Intelligence, vol. 1, pp. 113–124 (2004)Google Scholar
- 10.Woods, K., Kegelmeyer, W.: Combination of Multiple Classifiers Using Local Accuracy Estimates. IEEE Trans. on PAMI 19, 405–410 (1997)Google Scholar
- 11.Vinciarelli, A., et al.: Offline Recognition of Unconstrained Handwritten Text Using HMMs and Statistical Language Models. IEEE Trans. on PAMI 26, 709–720 (2004)Google Scholar
- 12.Xu, L., Krzyzak, A., Suen, C.: Methods of Combining of Multiple Classifiers and Their Applications to Handwriting Recognition. IEEE Trans. on SMC 22, 418–435 (1992)Google Scholar
- 13.Kapur, J., Kesavan, H.: Entropy Optimization Principles with Applications. Academic Press, London (1992)Google Scholar