handwritten numeral recognition
英 [ˌhændˈrɪtn ˈnjuːmərəl ˌrekəɡˈnɪʃn]
美 [ˌhændˈrɪtn ˈnuːmərəl ˌrekəɡˈnɪʃn]
网络 手写数字识别; 手写体数字识别; 数字识别
双语例句
- To counter the complexity and limitation of traditional digital recognition methods, a kind of handwritten numeral recognition method based on BP neural network is proposed.
手写体数字识别是多年来的研究热点，也是字符识别中的一个特别问题。 - Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.
手写体数字识别是目前模式识别领域众多研究者关注的一个热点，是信息录入的关键步骤，广泛应用于公安、税务、交通、金融、教育等行业的实践活动中。 - A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.
利用神经网络分类器组合，对手写体数字识别问题进行了研究。 - Research on Bangla Handwritten Numeral Recognition Using Directional Element Feature
基于DEF的孟加拉文脱机手写数字识别研究 - Manifold Learning and SVM Based Handwritten Numeral Recognition
基于流形学习与SVM的手写字符识别方法 - The DSP Implementation of Handwritten Numeral Recognition Algorithm
基于手写数字识别算法的DSP实现 - 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。 - At the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored.
最后简单阐述了手写数字识别的典型应用，对其在大规模数据统计、财务、税务、金融及邮件分拣中的应用进行了探索。 - Improved BP neural net and its application to handwritten numeral recognition
BP神经网络的改进及其用于手写数字识别的研究 - Handwritten numeral recognition based on contour expanding of multi-wavelet neural network clusters
基于多小波神经网络簇轮廓伸展的手写体数字识别 - Design and Implementation of Handwritten Numeral Recognition System Based on the Windows Platform
基于Windows平台的手写体数字识别系统的设计与实现 - An improved learning algorithm of multilayer neural networks based on simulation of human brains is provided for handwritten numeral recognition, and also presented is the weighted feature algorithm.
本文从模拟人脑思维功能这一基本思想出发，提出了一种改进的多层神经网络学习算法，并用于自由手写字体数字的识别，同时也提出了独特的特征加权算法。 - Study on Handwritten Numeral Recognition Based on Dynamic Weight Multi-Classifier Integration
基于动态权值集成的手写数字识别研究 - This thesis has studied and discussed the technology of handwritten numeral recognition, and proposed a new handwritten numeral recognition method based on dynamic weighted multi-classifier integration.
本文对手写数字识别技术进行了研究和探讨，提出了一种动态权值集成的多分类器手写数字识别方法。 - It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.
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。 - Handwritten numeral recognition belongs to pattern recognition, and is a factual question of pattern recognition, so it has some special request.
手写体数字识别属于模式识别的范畴，是模式识别中的一个具体问题，因而，对于手写体数字识别有着不同于其它模式识别的特殊要求。 - The handwritten numeral recognition system must be efficient and fast besides dependable and accuracy.
手写体数字识别除了要求识别精度高和工作可靠外，还要求其识别效率高，识别数度快。 - BP neural network arithmetic is used in the handwritten numeral recognition system. In order to reflect the whole character, we use many input modes to train the networks.
将BP神经网络引入到手写数字识别中，并采用多种输入模式对不同的BP网络进行训练，从而达到全面反映数字特征的目的。 - This paper presents a novel method for handwritten numeral recognition based on empirical mode decomposition.
将经验模型分解方法应用于手写体数字识别，提出了一种新的识别方法。 - In handwritten numeral recognition there are many recognition ways.
手写数字识别应用非常广泛，识别的方法有很多。 - Then the basic knowledge of the BP neural network was described. The simulation results of handwritten numeral recognition serial algorithm based on BP neural network is given.
然后主要叙述了BP神经网络基本知识，讨论了本文图像特征提取的方法，给出了基于BP神经网络的手写数字识别串行算法仿真结果。 - Then handwritten numeral recognition research is greatly general-purpose and significative, because of the universal Arabic numerals.
因为阿拉伯数字的通用性，并且数字的识别和处理也常常是一些自动化系统的核心和关键，对手写体数字识别研究通用性强，且意义重大。 - As a character recognition, handwritten numeral recognition has also been wide applications ( such as bank notes, data reports, sorting of letters etc).
手写数字识别作为字符识别的一种也得到了广泛的应用（如银行票据，数据报表，信件的分拣等等）。 - Handwritten numeral recognition has always been a difficult problem in the OCR. And it is also a realistic and challenging topic.
手写数字识别一直都是OCR中的一个难题，更是一个具有现实意义且富于挑战性的课题。 - In recent years, the neural network is widely used in handwritten numeral recognition algorithm, but the implementation of neural network involves a large number of matrix and vector calculations. In front of huge data, traditional programming methods can not meet the real-time nature.
近年来神经网络广泛应用于手写体数字识别算法，但神经网络的执行需要进行大量的矩阵和向量的计算，面对大数据量的问题，传统的编程方法满足不了实时性。 - This paper introduces the actual background, the theory meaning and the research work on handwritten numeral recognition.
本文介绍了数字识别的研究背景、理论意义以及本文的研究工作等。 - According to the requirements of handwritten numeral recognition algorithm, the hardware for handwritten numeral recognition system is designed, which includes: image acquisition module, image processing module, memory module and power supply module.
根据手写数字识别算法的要求，进行了手写数字识别器的硬件设计，硬件系统包括：图像采集模块，图像处理模块，存储模块和电源模块。 - We conducted experiments and found that it is feasible to use multi-wavelet features in handwritten numeral recognition.
实验表明使用多小波特征进行手写体数字识别是切实可行的。 - Because BP neural network can approximate any nonlinear mapping, and has good adaptability, self-organization, etc., so it is widely used in handwritten numeral recognition.
因为BP神经网络可以逼近任意的非线性映射，并且具有很强的自适应性、自组织性等，因此在手写数字识别领域被广泛采用。 - Among them, the off-line handwritten numeral recognition has become a hot issue in recent years, it has many potential applications research in many fields, such as sorting of letters, financial statements, bank notes, fax paper reading.
其中，离线手写体数字识别已经成为近年来研究的热点问题，在许多领域都有其应用潜力，例如信件分拣、财务报表、银行票据、传真文件阅读等。