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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 clo
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, usin
bp
- 实现神经网络的bp识别手写数字。改程序师用MATLAB实现的，里面代码可以直接用-Bp neural network to achieve handwritten numeral recognition. Reform program to achieve the division to use MATLAB, which code can be directly used
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 famil
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 Mach
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 docume
SegmentationandrecognitionoArabicharacters
- Arabic characters differ significantly from other characters, such as Latin and Chinese characters, in that they are written cursively in both printed and handwritten forms, and consist of 28 main characters. However,
RecognitionofOffLineHandwrittenArabicWordsUsingHi
- Hidden Markov Models (HMM) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for totally unconstrained Arabic handwritten word recognition based on a Model dis
sxszsb.Java
- Java写的手写数字识别软件，简单实现对手写数字的识别。-Java software is written in handwriting digit recognition, simple implementation of handwritten digits recognition.
findoutcharactor
- 包括手写文字识别的各个步骤，图像的预处理、裁剪、大小转换、人工神经网络训练和识别等等。-Handwritten character recognition, including the various steps, image preprocessing, cropping, size, conversion, training and recognition of artificial neural networks and so o
multihandwrittenandfeatureextraction
- 基于多特征提取的手写汉字识别算法及其实现.-Feature extraction based on multi handwritten Chinese character recognition algorithm and its implementation.