Abstract. A method is introduced to combine and jointly optimize recognition and image normalization in optical character recognition algorithms based on pseudo ...
A method is introduced to combine and jointly optimize recognition and image normalization in optical character recognition algorithms based on pseudo ...
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A new approach to text recognition is presented which attempts to avoid these problems by working directly on grey level images and treating an en tire word ...
In this paper we utilized HMM to recognize the Odia character and numbers. Hidden Markov Model have many advantages such as resistant to noise, handle contrast ...
Kuo: Hidden Markov Model based Optical. Character Recognition in the Presence of Deterministic. Transformations" Pattern Recognition, Vol 26, No. 12, pp. 1813 ...
Hidden Markov model based optical character recognition in the presence of deterministic transformations. Pattern Recognition. v26. 1813-1826.Google Scholar ...
O. Agazi and S. Kuo, Hidden markov model based optical character recognition in the presence of deterministic transformations, Pattern Recognition, vol.26, ...
Agazzi OE, Kuo SS (1993) Hidden Markov model based optical character recognition in the presence of deterministic transformations. Patt Recogn 26:1813–1826.
Hidden markov model based optical character recognition in the presence of deterministic transformations · O. AgazziS. Kuo. Computer Science. Pattern Recognit.
Jun 1, 2001 · E. Agazzi and S. Kuo, "Hidden Markov model based optical character recognition in the presence of deterministic transformations," Putt.