Off-line recognition of large-set handwritten characters with multiple hidden Markov models
暂无分享,去创建一个
[1] Oscar E. Agazzi,et al. Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Jian Zhou,et al. Off-Line Handwritten Word Recognition Using a Hidden Markov Model Type Stochastic Network , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Oscar E. Agazzi,et al. Hidden markov model based optical character recognition in the presence of deterministic transformations , 1993, Pattern Recognit..
[4] Seong-Whan Lee,et al. Large-set handwritten character recognition with multiple stochastic models , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).
[5] Abdel Belaïd,et al. Performance evaluation of an HMM based OCR system , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[6] Chinmoy B. Bose,et al. Connected and degraded text recognition using hidden Markov model , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[7] Seong-Whan Lee,et al. Noisy Hangul character recognition with fuzzy tree classifier , 1992, Electronic Imaging.
[8] Ching Y. Suen,et al. Historical review of OCR research and development , 1992, Proc. IEEE.
[9] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[10] Roberto Pieraccini,et al. Dynamic planar warping for optical character recognition , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[11] Sun-Yuan Kung,et al. Hidden Markov models for character recognition , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[12] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[13] Paramvir Bahl,et al. Recognition of handwritten word: first and second order hidden Markov model based approach , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[14] A. Kundu,et al. Recognition of handwritten script: a hidden Markov model based approach , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[15] Amir Dembo,et al. A minimum discrimination information approach for hidden Markov modeling , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[16] Lalit R. Bahl,et al. Maximum mutual information estimation of hidden Markov model parameters for speech recognition , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[17] A. Nadas,et al. A decision theorectic formulation of a training problem in speech recognition and a comparison of training by unconditional versus conditional maximum likelihood , 1983 .
[18] Lalit R. Bahl,et al. A Maximum Likelihood Approach to Continuous Speech Recognition , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] J. Baker,et al. The DRAGON system--An overview , 1975 .
[20] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .
[21] Alexander Shapiro,et al. Fisher Discriminant Analysis and Factor Analysis , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] L. Baum,et al. An inequality and associated maximization technique in statistical estimation of probabilistic functions of a Markov process , 1972 .