Description: 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09，在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法，比如SVM，PCA，LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类，效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of ways for paater classification, such as SVM, PCA, LDA, etc. I hope it is helpful for readers. Platform: |
Size: 5998592 |
Author:Mountain |
Hits:
Description: 讲解matlab中如何运用神经网络进行模式识别，有大量实例分析-Matlab how to explain the use of neural network pattern recognition, there are a large number of case analysis Platform: |
Size: 3937280 |
Author:杜谊 |
Hits:
Description: Number recognition system using fuzzy.
after left->right conversion, you can check it. Platform: |
Size: 4934656 |
Author:kimsejin |
Hits:
Description: 索书号识别技术的研究 对索书号进行识别，即对数字进行识别-Call Number Recognition Technology to the call number identification, that identification numbers Platform: |
Size: 57344 |
Author:marry_xue |
Hits:
Description: 基于BP神经网络的图书编号识别,pdf版本，欢迎下载收看 -Based on BP Neural Network Book Number Recognition, pdf version, please download the watch thank you Platform: |
Size: 566272 |
Author:zhangyu |
Hits:
Description: 采用MATLAB实现Hopfield神经网络算法，并用其来进行字符识别。实验包括单个噪声字符的识别和多个噪声字符的识别两部分。并从这两方面对实验数据进行了分析与对比。-Hopfield neural network implementation using MATLAB algorithm, and use it to carry out character recognition. Experiments included a single noise, character recognition and character identification number of the noise in two parts. From both the experimental data were analyzed and compared. Platform: |
Size: 3072 |
Author:caoliang |
Hits:
Description: 根据手写的这些特点对手写数字的识别处理进行探讨并以VC6.0开发环境加以实现。
手写数字的识别和识别印刷体汉字或数字可以使用相同的技术，实际上也确实如此。
-According to these characteristics of the handwriting handwritten number recognition processing of the development environment to explore and to VC6.0 be achieved. Handwritten numeral recognition and identification of printed characters or numbers can use the same techniques, actually true. Platform: |
Size: 75776 |
Author:caoliang |
Hits:
Description: Detecting end points and junctions of lines is always problematic in matlab. This code enables to detect them in fast manner. Gives spatial coordinates of end points and junctions. Also gives information about number of lines connected in these junctions. The algorithm can be used in vessel detection, road detection, finger print recognition systems. Platform: |
Size: 1024 |
Author:Beril |
Hits:
Description: 《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems Platform: |
Size: 11152384 |
Author:吴晶 |
Hits:
Description: Matlab Code for automatic number plate recognition in English and Arabic.
Samples also included. Platform: |
Size: 699392 |
Author: |
Hits:
Description: tells you how to use erosion dilation and thresholding for license plate number recognition Platform: |
Size: 1024 |
Author:open minded |
Hits:
Description: License Plate Recognition identifiable license plates of various mainland, including the blue card and card, yellow card and white card, black card to identify them from Hong Kong, Macao plate yellow card to identify the single-row yellow plates, large car number plates and motorcycle license white card can be identified, including a police vehicle, the armed police and military license plates. Platform: |
Size: 172032 |
Author:mjdkadh |
Hits:
Description: 利用感知机（神经网络）的数字识别程序，包含训练数据learn.dat和测试数据test.dat.程序可识别1-9九个数字。此程序还可进行扩展，用于识别其他的数字和字母。-The use of Perceptron (neural network) the number of identification procedures, including training data learn.dat and test data test.dat. Program can recognize numbers 1-9 9. This procedure can also be extended, is used to identify other numbers and letters. Platform: |
Size: 58368 |
Author:李晓 |
Hits:
Description: Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics, such as gender, ethnicity, and age. In particular, recognizing human gender is important since people respond differently according to gender. In addition, a successful gender classification approach can boost the performance of many other applications, including person recognition and smart human-computer interfaces. Platform: |
Size: 35840 |
Author:mhm |
Hits:
Description: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效
果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类
器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法
和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应
的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG
Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较
高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect
Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples
Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method
And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive
Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG
Toolkit developed a prototype system IdeaNote. Is shown th Platform: |
Size: 626688 |
Author:郭事业 |
Hits:
Search - number recognition