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Handwritinghehe
- 本程序编写了手写识别，具有A－Z的字母识别功能。非常好。
3111111111111111111111
- 图像数字识别程序，可以手写识别，功能齐全
TextRecognition
- 手写识别源码，具备fisher、网格识别、神经元辨别的
kanjipad-1.2.1
- 一个日文手写识别源码，有较高的参考价值。-a Japanese handwriting recognition source, a high reference value.
手写数字识别系统
- 111我们的任务是要设计并训练出一个可行、高效的 BP 网络，以实现对 0到 9共 10 个加噪声后的数字和识别。-Our task is to design and train a viable and efficient BP networks to achieve 0-9 to a total of 10 increases the noise figure and identification.
NumberRecognition
- 此程序用于识别手写数字，主要是采用基于特征的方法，用一个5×5的栅格将数字分成25分，每份为一个特征，共有25个特征，然后进行特征匹配，识别出数字。-This procedure used to identify handwritten digits, mainly based on the characteristics of the method, using a 5 × 5 grid will be divided into 25 sub-figures, each as a featur
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.
Photo-identification-letters
- 字母图片识别，可以用来识别手写英文字母的程序！-Photo identification letters
Read_MNIST_DataSet
- 读取标准手写数字库中的图像，包含60000个训练样本和10000个识别样本-hand written digital,contains 60000 trains example and 10000 test images.
HandWriteOCR
- 手写汉字识别程序，包含训练和检测两部分，基于mnist库做训练和测试(Handwritten Chinese character recognition program, including training and testing of two parts)
手写体数字识别
- 可以识别手写体数字，识别率在百分之90以上。贝叶斯决策论(Handwritten numerals can be recognized)
BP神经网络实现手写数字识别matlab实现
- BP神经网络实现手写数字识别matlab实现(Matlab implementation of handwritten digit recognition based on BP neural network)
手写体数字识别界面程序
- 模糊模式识别，贝叶斯，手写识别。用于识别手写的数字。有样本图片。(Fuzzy pattern recognition, Bayes, handwriting recognition. Used to recognize handwritten numbers.)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
chinese_test
- 手写汉字识别，数据集训练，MNIST，Deep Convolutional Network识别手写汉字(Handwritten Chinese character recognition, data set training, MNIST, Deep Convolutional Network)
基于MATLAB的文字识别
- 基于matlab的手写字体识别程序，并对结果进行保存(Matlab based handwritten font recognition program, and save the results.)
手写数字识别
- 通过训练图片中数字0~9，跟着通过手写输入识别出所写数字的类别。(By training the number of 0~9 in the picture, we can identify the category of the written number followed by handwritten input.)
基于libsvm的手写字体识别
- 对于0到9这十个手写体数字进行识别，针对不同字形的手写体数字进行预处理(For 0 to 9, the handwritten Numbers are identified, and the handwritten Numbers of different glyphs are pretreated.)
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别，以卷积神经网络（CNN）作为网络模型，利用mnist手写数字训练数据集训练手写数字识别模型，搭建手写数字识别系统，并用自己手写的数字照片进行测试。