该系统包括显示装置、绝对坐标定位模块、笔迹识别模块以及笔迹输入结构。
The system comprises a display device, an absolute coordinate location module, a handwriting recognition module and a handwriting inputting structure.
该文围绕汉字笔迹识别，探讨了多类别、样本数量偏差情况对算法过程的影响。
Fouce on the handwriting identification task, how the multi-class and unbalance data affect the algorithm process was studied and a new algorithm was given.
本发明提供一种基于绝对坐标定位的笔迹识别系统及其实现方法，属于笔迹识别技术领域。
The invention provides a system for handwriting recognition based on absolute coordinate location and an implementation method thereof, belonging to the technical field of handwriting recognition.
事实上，现在的笔迹识别方法非常完善，一些特定解决方案的识别率可以达到百分之九十九以上(如果排除一些零乱笔迹的话非常好)。
In fact, handwriting recognition is extremely good, with some specially tuned solutions achieving over 99% accuracy (pretty good, considering some of the messy handwriting that is out there).
采用这种名为Dynahand的新型认证程序，用户只需能够识别他们自己的笔迹就可以了。
With the new authentication program Dynahand, users just need to be able to recognize their own writing.
一项新研究表明，要实现在线身份认证，可以采用识别自己笔迹的方式，而不再需要记住密码。
Recognizing your own handwriting rather than remembering a password could be used for online identification, new research shows.
基于笔迹的计算机身份鉴别是目前活跃于模式识别和图像处理领域的研究热点之一。
The computer writer identification based on handwriting is one of the research focuses in the field of Pattern Recognition and Image Processing.
但是由于手写体笔迹变动非常大，精确识别比较困难。
Because of large variation of handwriting, exact recognition is very difficult.
通过将提取出的签名笔迹形状特征结合伪动态特征进行鉴别，可以有效降低识别错误率，达到较好的综合鉴别效果。
Through the combination of form and false dynamic characteristics, the rate of false recognition can be reduced effectively, preferable comprehensive identification effect can be achieved.
这个网络中，被称为CSVM，由阿拉纳·丹尼尔开发并可以用来不仅识别人的轮廓，但也指纹，笔迹，脸，声音的频率和DNA序列。
This network, called CSVM, was developed by Arana Daniel and can be used to recognize not only human silhouettes, but also fingerprints, handwriting, faces, voice frequencies and DNA sequences.
不同soa条件下较高的检测率证实了手写汉字的可识别性，这为笔迹鉴定搭建了理论基石。
High correct response rate under different SOA level testify the handwriting can be recognized that is base theory of handwriting identification.
快速记录——原笔迹直存，无需等待恼人的文字识别。
本文运用的笔迹特征的分析方法和分类判别方法，经过大量的实验达到了满意的正确识别率。
The experiment has proven that the techniques of handwriting feather extraction and decision can get the satisfying right identifying rate.
采用这种名为Dynahand的新型认证程序，用户只需能够识别他们自己的笔迹就可以了。
With the new authentication program Dynahand, users just need to be able to recognise their own writing.
采用这种名为Dynahand的新型认证程序，用户只需能够识别他们自己的笔迹就可以了。
With the new authentication program Dynahand, users just need to be able to recognise their own writing.
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