In this paper, we propose a novel approach to limited vocabulary recognition of unconstrained (mixed cursive) handwriting based on a hidden Markov model (HMM).
In this paper, we propose a novel approach to limited vocabulary recognition of unconstrained (mixed cursive) handwriting based on a hidden Markov model (HMM).
In this paper, we propose a novel approach to limited vocabulary recognition of unconstrained (mixed cursive) handwriting based on a hidden Markov model ...
An HMM based unconstrained online handwriting recognition is presented. • A novel approach to smoothing of HMM parameters has been considered. • A circular ...
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Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters · Smoothing of HMM parameters for efficient recognition of ...
Oct 22, 2024 · In this paper we address the problem variability in handwriting due to geometric distortion of letters and words by rotation, scale and translation.
In this paper we explore different approaches for improving the performance of dependency models on discrete features for handwriting recognition.
Smoothing of HMM parameters for efficient recognition of online handwriting. O. Samanta, U. Bhattacharya and S.K. Parui. 1 Nov 2014 | Pattern Recognition, Vol.
Dec 23, 2014 · Smoothing of additive state functionals is a key ingredient of most—frequentistic or Bayesian— online parameter estimation techniques for HMMs.
Missing: handwriting. | Show results with:handwriting.
In this paper we present an online handwritten symbol recognition system for Telugu, a widely spoken language in India. The system is based on hidden Markov ...