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number-recognition
- 手写字体的识别,首先进行图像矫正并二值化,然后提取图像的网格特征,使用匹配的方法进行数字识别-number recognition
featureextract
- 利用matlab实现数字的识别,对于手写的数字,基本上可以识别出来,包含了源码、测试用例及使用方法-Using matlab realize the identification number of the handwritten numbers, basically can be identified, including the source code, test cases and methods of use
OCR
- matlab 编写的OCR数字识别程序,可以识别手写的数字图片。-OCR recognize program by matlab
stm32-handwrite-_recognize
- 基于stm32的手写识别程序:开机的时候先初始化手写识别器,然后检测字库,之后进入等待输入状态。此时,我们在手写区写数字/字符,在每次写入结束后,自动进入识别状态,进行识别,然后将识别结果输出在LCD模块上面(同时打印到串口)。通过按KEY0可以进行模式切换(4种模式都可以测试),通过按KEY2,可以进入触摸屏校准(如果发现触摸屏不准,请执行此操作)。DS0用于指示程序运行状态。-Based stm32 handwriting recognition program: boot time to
11
- 基于弹性BP的数字手写体识别,利用弹性BP神经网络设计的数字手写识别算法。附录文档说明-BP neuralnetwork
BPrecognition
- BP神经网络识别手写字符验证码,包括10721张字母、数字样本-BP neural network handwritten character recognition codes, including 10,721 letters, numbers, samples
STM32-Handwriting-recognition
- 学习ALIENTEK手写识别库的使用,实现一个简单的数字/字符手写识别程序.-Learn to use ALIENTEK handwriting recognition library implements a simple digital/character handwriting recognition program.
5.SVMshuzishibie
- 本实验中将应用支持向量机算法对一些手写的数字进行识别。MATLAB程序-In this experiment, we will use support vector machine algorithm to recognize some handwritten numbers. MATLAB program
STM32-SHOUXIESHIBIE
- 通过使用ALIENTEK手写识别库,实现简单的数字/字符手写识别程序. -By using the ALIENTEK handwriting recognition library, a simple digital/character handwriting recognition program is implemented.
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)
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
neural_network.tar
- 用于识别手写的0~9,10个数字,使用的工具是matlab(used to identify handwritten number 0~9 ,ten digits)
meehod-datagram-exception
- 联机数字手写识别,模式识别中很基础的程序,也是基于点轨迹的识别()
NumberRecognizer
- 在matlab平台上进行的数字识别,样本为手写的0-9的数字(number recognition in matlab)
kNN
- 手势识别源代码,需要百度下载training和test(训练集和测试集)能够实现手写0-9数字的识别,并在40秒以内完成(Python.number recognition.)