查询词典 handwriting recognition

This paper is focus on small set character recognition. Based on skeleton graphics, handwriting Chinese character is defined as a set of isolated branch, isolated loop and component.

本文针对小类别数手写汉字，在骨架图形的基础上，把手写汉字看作孤枝、孤环和部件的集合，并定义三者之间的方位关系，从而建立手写汉字的数学模型。

Chinese handwriting characters recognition is the most difficult problem in character recognition field.

摘 要：手写体汉字识别是汉字识别领域中最难的课题。

Offline Character Recognition need handwriting sample database, but because the author is limited, and no...

脱机字符识别需要建立手写样本库，但由于作者水平有限，就不介绍实例了。

All the three intervention strategies had positive effects on word recognition and handwriting.

一、三种策略对三位受试的国字读写均有助益。

This procedure in the VC environment to realize the figures for handwriting input recognition.

详细说明：本程序在VC环境下实现对手写输入的数字进行识别。

According to these characteristics of the handwriting handwritten number recognition processing of the development environment to explore and to VC6.0 be achieved.

详细说明：根据手写的这些特点对手写数字的识别处理进行探讨并以VC6.0开发环境加以实现。

Because of large variation of handwriting, exact recognition is very difficult.

但是由于手写体笔迹变动非常大，精确识别比较困难。

Parameter Estimation and the applications in handwriting character recognition of 2-D stationary HMMs were discussed in this paper.

本文讨论了二维平稳隐马氏模型参数估计及其在文字识别中的应用。

And besides, actually handwriting and voice recognition … even if not very accurate, is still very cool .

并且， 其实手写和语音识别…虽然不怎么准，还是挺酷的。

Main contributions are local optimal decoding algorithm of Hidden Markov model that was applied into off-line handwriting character recognition and parameter estimations. An abridged algorithm and parameter estimation of Hidden Markov models applied in character recognition were presented under simple hypothesis.

文中主要给出隐马氏模型在文字识别中局部最优的解码算法；在简单假设的前提下给出隐马氏模型在文字识别应用中的一种简化算法和相应的参数估计。

Methods: Five patients with parkinsonism or dystonia were assigned to general anesthesia using an modified endotracheal tube.

本实验依照人体实验之相关规定进行，五位患有帕金森氏症或肌张力异常的病人接受神经立体定位手术。

If you can benefit from this book, it is our honour.

如果您能从本书获益，这将是我们的荣幸。