May 1, 2008 · This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character ...
May 1, 2008 · This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character ...
This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten ...
This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten ...
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a ...
A large margin approach for writer independent online handwriting classification. K Kumara, R Agrawal, C Bhattacharyya. Pattern Recognition Letters 29 (7), 933- ...
This work focuses on finding best practices for building modern HTR systems. We explore a set of guidelines for training HTR DNNs, re-examining and extending ...
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of con- verting a generic (user- ...
"A Large Margin Approach for Writer Independent Online Handwriting Classification." Pattern Recognition Letters 29, Pp:933--937, Elsevier-ScienceDirect.
[PDF] A Combined Crisp and Fuzzy Approach for Handwriting Analysis
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This paper presents an off-line writer-independent handwriting analysis system which utilizes both classical crisp and fuzzy methodologies to output possible ...