A maximum-likelihood approach to segmentation-based recognition of ...
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We propose a maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text. The segmentation scores and recognition scores ...
Abstract: In this paper, we propose a maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text.
In this paper, we propose a maximum-likelihood recog- nition method for unconstrained handwriting text[5]. The likelihood function has been derived from the ...
We have developed an intelligent digital notepad that can translate unconstrained handwritten text into digitalized text. In this paper, we describe the ...
Abstract: In this paper, we propose a maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text.
We propose a maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text. The segmentation scores and recognition scores ...
Shuji Senda, Keiji Yamada: A Maximum-Likelihood Approach to Segmentation-Based Recognition of Unconstrained Handwriting Text. ICDAR 2001: 184-188.
In this paper, we propose a maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text. The segmentation scores and ...
A maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text. S Senda, K Yamada. Proceedings of Sixth International ...
and Yamada, K.: A Maximum-likelihood Approach to Segmentation-based Recognition of Unconstrained Handwriting Text, Proceedings of the Proceedings of the ...