By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
Hence, improve the correct rate of off-line handwritten Chinese character recognition.
从而进一步提高了脱机手写汉字识别的正确率。
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
手写数字识别和脱机手写汉字识别的实际应用验证了所提的理论和方法。
The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.
提出的脱机手写体汉字识别系统主要研究特征提取和分类识别两个模块。
The model is effective when applied to the off-line handwritten recognition algorithm.
基于上述模型进行的脱机手写模式识别算法说明了其有效性。
After studying the existing graphics extraction algorithm, a new graphics recognition algorithm-an off-line recognition method for freehand graphics based on line segment tracing is proposed.
在研究了现有图形提取算法的基础上，本文针对手绘图形绘制不规则的特点，提出了一种新的图形识别算法—基于直线段跟踪的手绘图元识别算法。
Then makes a summary of various classifiers and ensemble methods commonly used in the off-line handwritten Chinese characters recognition.
然后对脱机手写体汉字识别中常用的分类器以及集成方法进行了认真的学习和总结。
The paper proposes a method of off-line handwritten digit recognition based on principal curves.
该文提出了一种基于主曲线的脱机手写数字识别方法。
Extraction of features is critical to improve the recognition rate of off-line handwritten characters.
要提高脱机手写字符识别的识别率，关键是特征的提取。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
The paper proposes a method of off-line handwritten digit recognition based on principal curves.
主要研究了手写体数字识别的特征提取方法，并提出了一种新的边界特征提取方法。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
脱机手写体汉字识别是当前模式识别领域的一个研究热点，具有广泛的应用前景。
This thesis mainly finishes the following work in the field of off-line handwritten Chinese characters' feature extracting and auto-recognition.
本文主要在汉字字符的特征提取和自动识别方面做了如下的工作。
The acquisition method of off-line signals and its device belong to the technical field of pattern recognition method and device by use of electronic equipments.
采集离线信号的方法和装置，属于应用电子设备识别图形的方法和装置技术领域。
Segmentation of off-line handwritten Chinese characters is the premise of recognition. It is most difficult to segment connected characters.
离线手写汉字的切分是识别的前提，其中粘连手写汉字的切分最为困难。
Our off-line cursive English word recognition system was based on HMM (Hidden Markov Models) and blur segmentation.
介绍了一个基于隐马尔科夫模型的、采用模糊分割方式的脱机手写英文单词识别系统。
Similar characters are common among Chinese characters, which is a main reason for affecting the recognition rate of off -line handwritten Chinese character.
相似字的普遍存在是影响脱机手写体汉字识别率低的主要原因之一。
This method consists of off-line training and on-line detection and recognition.
该方法分为离线的训练阶段和在线的检测与识别阶段。
The research on off-line handwritten Chinese characters machine recognition has not only important theoretical value, but also wide market prospect.
脱机手写体汉字的识别不仅具有重要的理论研究价值，而且具有广阔的市场前景。
Off-line handwritten Chinese character recognition research has important meaning to Chinese character information processing automation and new generation computer's intelligent input.
脱机手写体汉字识别研究对汉字信息处理自动化，对开拓新一代计算机的智能输入有重要意义。
Off-line handwritten Chinese character recognition is one of the most difficult problems in character recognition, for its huge quantity, complex structure and various transmutations.
脱机手写体汉字存在数量大、结构复杂以及变形多等问题，对其自动识别被公认为字符识别领域中难题之一。
Off-line handwritten Chinese character recognition is one of the most difficult problems in character recognition, for its huge quantity, complex structure and various transmutations.
脱机手写体汉字存在数量大、结构复杂以及变形多等问题，对其自动识别被公认为字符识别领域中难题之一。
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