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。
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。
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 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。
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 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。
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。
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 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 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。
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。
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。
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。
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。
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