搜索资源列表
VCPPOCR
- 基于C++的字符识别程序,可识别汉字,数字,英文字母等。内含测试,光学字符识别,OCR-Based on the C++ character recognition procedures, recognizable Chinese characters, numbers, letters and so on. Embedded test, optical character recognition, OCR
bp
- c++的bp神经网络字符识别系统可以识别数字字母-c++ bp neural network character recognition system can recognize alphanumeric
stm32handwriting
- 嵌入式STM32F407ZGT6手写输入识别源码,数字和英文字母-翻译 嵌入式STM32F407ZGT6手写输入识别源码,数字和英文字母 32/5000 Embedded STM32F407ZGT6 handwriting recognition to identify source code, numbers and English letters
distinguish_test_2010
- hu矩识别,将hu矩应用在识别方面,将数字和字母的hu矩算出来,再跟模版对比-Hu moment recognition, hu moments will be used in recognition, the numbers and letters of the hu moment calculated, then compared with the template
5,ATKNCR(数字字母手写识别库)
- 关于stm32的一些库的应用。大家可以参考一下(The application of some libraries about stm32. We can refer to)
Science-2015-Lake-1332-8
- 这是一篇用小数据学习来识别手写体字母的论文,作者是MIT的博士。(One-shot learning paper of handwritten character recognition.)
getPicChar
- 可以分割二维码,在二维码识别中可以将处理过的二维码字母分开(Can be partitioned qr code)
OCR
- 用于识别图像中的数字和字母,识别准确率高,基于c#语言开发的识别工具(It is used to identify the numbers and letters in the image, and the recognition accuracy is high. The identification tool based on c# language is developed)
5,ATKNCR(数字字母手写识别库)
- 本目录下面包含ALIENTEK针对Mini V3 STM32F103开发板的普通扩展实验,分为寄存器和库函数两个版本。这些扩展例程,将不定期更新!(This directory contains a common extension experiment for the Mini V3 STM32F103 development board, divided into two versions of registers and library functions. These extension
5,ATKNCR(数字字母手写识别库)
- use to develop stm32 Digital recognition and handwriting recognition library
神经网络代码
- 识别印刷体26个大写英文字母的训练网络(任意五个字母),用newff或feedforwardnet构建(A training network (any five letters) that identifies 26 letters of English letters in a printed form, constructed with newff or feedforwardnet)
clip_english_words
- 输入一张有英文单词的图片,完成对英文单词的定位、分割。分割出单词字母,一遍下一步识别时应用(Enter a picture with English words to complete the location and segmentation of English words. Divide the words and letters, and apply the next step.)
Lenet5_EasyPR_D
- 利用eastpr技术对不同的自然环境下的车牌进行分割,以及对不同的字母和数字进行识别(Using eastpr technology to divide the license plate in different natural environment, and identify different letters and numbers.)
63267975multipath_doppler
- 如果输出为“0”(即结果错误),则把网络连接权值朝着减小综合输入加权值的方向调整,其目的在于使网络下次再遇到“A”模式输入时,减小犯同样错误的可能性。如此操作调整,当给网络轮番输入若干个手写字母“A”、“B”后,经过网络按以上学习方法进行若干次学习后,网络判断的正确率将大大提高。这说明网络对这两个模式的学习已经获得了成功,它已将这两个模式分布地记忆在网络的各个连接权值上。当网络再次遇到其中任何一个模式时,能够作出迅速、准确的判断和识别。一般说来,网络中所含的神经元个数越多,则它能记忆、识别的模式
学宪法懂宪法座谈会 - 副本
- matlab 程序 实现对文字的识别,对字母f做了验证了(The matlab program implements the recognition of the text and validates the letter F.)
HandwrittenCharacterRecognition
- 基于matlab的字符识别,对A-Z 24个字母进行图像处理识别训练,再对某图片进行测试得出结果(handwritter character recognition)
标准库
- 用于车牌字符识别系统中的模板匹配识别法,模板库的简历,含数字字母和汉字(Template matching recognition method for license plate character recognition)
Lenet5
- 利用lenet5,进行数字和字母的识别,网络已训练好可直接使用。 附带中文字符样本(Using lenet5 to recognize numbers and letters, the network has been trained and can be used directly. Incidental Chinese character sample)
文本图像处理
- 将印刷版英文字母及数字识别出来,存入文本文档(Identify printed English letters and numbers and store them in text documents.)
Python神经网络编程.pdf+代码
- 本书首先从简单的思路着手,详细介绍了理解神经网络如何工作所必须的基础知识。第一部分介绍基本的思路,包括神经网络底层的数学知识,第2部分是实践,介绍了学习Python编程的流行和轻松的方法,从而逐渐使用该语言构建神经网络,以能够识别人类手写的字母,特别是让其像专家所开发的网络那样地工作。第3部分是扩展,介绍如何将神经网络的性能提升到工业应用的层级,甚至让其在Raspberry Pi上工作。(This book begins with a brief introduction to the basi