handwritten character recognition
英 [ˌhændˈrɪtn ˈkærəktə(r) ˌrekəɡˈnɪʃn]
美 [ˌhændˈrɪtn ˈkærəktər ˌrekəɡˈnɪʃn]
网络 手写字符识别
双语例句
- I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
研究了基于自适应特征融合及模块神经网络的手写体汉字识别。 - 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。 - Feature extraction is the difficulty of handwritten chinese character recognition.
特征提取是手写体汉字识别的一个研究难点。 - Research on Handwritten Chinese Character Recognition Method Based on Rough Set and Genetic Algorithm
基于粗糙集和遗传算法的脱机手写体汉字识别方法研究 - A method for handwritten Chinese character recognition based on the and-or tree structure
基于与或树结构的手写汉字识别方法 - Handwritten character recognition based on improved Hopfield neural network
基于改进Hopfield神经网络的手写字符识别 - 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。 - In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。 - At present, an emphasis of the research is put on unconstrained handwritten character recognition.
目前，OCR的研究重点是无约束手写体字符识别。 - 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。 - Handwritten Character Recognition& Features Extraction from the Curvatures of Contour Points Based on Wavelet Transform
手写字符轮廓曲率的特征提取和识别 - Manchu handwritten character recognition post-processing based on knowledge base
图书馆隐性知识的管理基于知识的满文识别后处理 - The Study of Neural Networks Applied to Handwritten Character Recognition
神经网络在手写体字符识别中的应用研究 - A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis
基于语义分析提高脱机手写体识别率的方法 - Feedback-Based Algorithm for Handwritten Character Recognition
基于反馈的手写体字符识别方法的研究 - Handwritten Character Recognition Using Principal Component Analysis
基于主分量分析的手写数字字符识别 - Handwritten character recognition based on adaptive resonance theory of artificial neural network
基于人工神经网络自适应共振理论的手写字符识别 - Two Optimization Criterions for Neural Networks and Their Applications in Unconstrained Handwritten Character Recognition
两个神经网络优化准则及其在无限制字符识别中的应用 - Handwritten Character Recognition Using HMM Based on Optimal Discriminant Transformation FIGURE
基于最佳鉴别变换的HMM手写数字字符识别 - An Improved Radial Basis Function Neural Network and Its Application for Handwritten Character Recognition
改进径向基函数神经网及其在手写体字符识别中的应用 - Design of Multiple Features and Multiple Classifiers for Handwritten Character Recognition
手写体字符识别的多特征多分类器设计 - Research on handwritten character recognition
手写字符识别方法的研究 - Owing to hard work of many researchers, the on-line handwritten character recognition and off-line print character recognition have succeeded in our daily life with many practical products.
经过无数科研工作者的不懈努力，汉字识别中的联机手写体识别和脱机印刷体识别已日趋成熟，出现了很多有实用价值的产品。 - The technology of handwritten character recognition has been widely used for human-computer interaction in many handheld devices after more than fourty years of effort by researchers.
经过四十多年的研究与发展，手写识别技术已经被广泛应用于各种设备中以方便人机交互。 - The problem of Chinese handwritten character recognition by computer is thought of one of the most difficult problems in the field of pattern recognition.
手写体汉字计算机识别是模式识别领域最难解决的问题之一。 - Handwritten character recognition are widely researched over the years, but also one of the most successful applications in the field of pattern recognition, generally it can be divided into two categories: on-line handwritten character recognition and optical character recognition ( OCR or off-line character recognition).
手写体字符识别是多年来的研究热点，也是模式识别领域中最成功的应用之一，一般可以分为两类：联机手写字符识别和光学字符识别（OCR或称离线字符识别）。 - Handwritten Character Recognition research is a branch of the area of Optical Character Recognition ( OCR), which deals with the recognition of handwritten English character or digits using computer.
手写字符识别是OCR的一个分支，它的研究对象是：如何利用电子计算机自动辨认手写的英文字符和阿拉伯数字。 - Handwritten character recognition as an important application of pattern recognition, in recent years, is very active.
手写字符识别作为模式识别领域的一个重要应用，在当今社会非常活跃。 - To improve the automation and intelligence of the software, we need to implement the function of auto-pick scripts. That is the task of handwritten character recognition.
为了提高软件的鉴别效率及实现软件的自动化、智能化，有必要对其中的手写体汉字实现计算机自动跟踪识别。 - In addition, the handwritten character recognition technology is still immature, still is field of pattern recognition of one of the most challenging tasks.
此外，手写字符的识别技术还未完全成熟，仍然是模式识别领域最具挑战性的课题之一。