Mar 24, 2014 · In this paper, we present a novel text line segmentation framework following the divide-and-conquer paradigm: we iteratively identify and ...
This paper iteratively identifies and re-process regions of ambiguous line segmentation from an input document image until there is no ambiguity, ...
In this paper, we present a novel text line segmentation framework following the divide-and-conquer paradigm: we iteratively identify and re-process regions ...
Yue Wu, Shengxin Zha, Huaigu Cao, Daben Liu, Premkumar Natarajan A Markov chain based line segmentation framework for handwritten character recognition
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What is the hidden Markov model for handwriting recognition?
What is the use of handwritten character recognition?
Markov Models for Handwriting Recognition provides a comprehensive overview of the application of Markov models in the research field of handwriting recognition ...
A method for the off-line recognition of cursive handwriting based on hidden Markov models (HMMs) is described.
Apr 9, 2021 · In this paper we introduce our work on a new robust framework for solving the TLS problem via a trial-and-error method within a divide-and-conquer paradigm.
In contrast to the mainstream HMM-based approaches dedicated for the recognition of offline handwritten Arabic, this paper proposes an HMM-based approach ...
A method for the off-line recognition of handwritten characters with hidden. Markov models (HMMs) is described. Performance of our HMM is compared.
Missing: chain framework
C. Choisy and A. Belaïd, Analytic word without segmentation based on Markov random elds. International workshop on frontiers in Handwriting recognition, 2000.
Missing: chain framework