搜索资源列表
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
ex13_061221015
- 1)实现手写阿拉伯数字的识别。 2)读入测试图象，鼠标选中相应区域，输出区域中的数字值。-1) to achieve the recognition of handwritten Arabic numerals. 2) read the test images, the mouse to select the appropriate region, the output of the digital value of the region.
ocrdata
- This directory contains the original version of the database "Optical recognition of handwritten digits" by E.Alpaydin and C.Kaynak, Department of Computer Engineering, Bogazici University, 80815 Istanbul, Turkey.
1234
- uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类，手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, han
handwrittencharacterrecognition
- 三种神经网络方法用于手写体字符识别PNN、RBF、BP-Three kinds of neural networks for handwritten character recognition PNN, RBF, BP
CNNcharacterrecog
- This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot na
Bayes-recognize
- 基于Bayes手写数字识别系统，delphi7编写-Bayes-based handwritten numeral recognition systems, delphi7 preparation
geometricclassifier
- 基于几何分类器的手写数字识别系统，delphi7-Based on geometric classifier handwritten numeral recognition system
shibie
- 针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。-Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
bprecognition
- 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
Handwritten_numeral_recognition_of_the_template_ma
- 手写汉字识别，本文采用模板匹配的方法，进行识别，模板匹配方法的通用性大家都很了解，你可以在本代码的基础上改善新的功能-Handwritten Chinese character recognition, this paper adopts the template matching method, identification, template matching method versatility are all too familiar, you can code on the basis
shuzishibie1
- 基于Matlab的手写数字识别 图像预处理工作的论文 (pdf格式)-Handwritten Digit Recognition Based on Matlab image pre-processing work papers (pdf format)
bp_test
- 利用人工智能，神经网络中的BP网络实现的，可以有效识别手写体数字-Using artificial intelligence, neural network BP network, and can effectively identify the handwritten numeral
binaryalphadigs
- Matlab binary digits for handwritten character recognition
numberrecogition
- 手写数字识别 实现简单的手写数字识别功能-Handwritten numeral recognition simple handwriting recognition feature number
Handwrittendigitrecognition
- Handwritten digit recognition algorithm code with matlab.
handwritten-digits
- 手写数字识别的几种算法 c 源码，希望对大家有所帮助-Several handwritten numeral recognition algorithm c source code, we want to help
HandwritingRecognitionusingKernelDiscriminantAnal
- Handwriting Recognition using Kernel Discriminant Analysis. Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository.
TextLinesegmentationofhistoricalArabicdocuments.r
- This paper presents a text line segmentation method for printed or handwritten historical Arabic documents. Documents are first classified into 2 classes using a K-means scheme. These classes correspond to document complexity (easy or not eas