handwriting character recognition

基本解釋

The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.
本文用到的方法對于在合理的模型假設(shè)下解決手寫字符識別問題呈現(xiàn)了很大的潛力。
Main contributions are local optimal decoding algorithm of Hidden Markov model that was applied into off-line handwriting character recognition and parameter estimations.
文中主要給出隱馬氏模型在文字識別中局部最優(yōu)的解碼算法；
In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper.
在手寫漢字識別的研究中，鮮有研究者提出建立手寫漢字的數(shù)學(xué)模型，本文在這方面作了一些探討。

S' Optical Character Recognition application converts handwriting into electronic text that can be sent to Word, Outlook, Notepad, etc.
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