搜索资源列表
tuixiang
- 使用matlab对手写的字母进行辨识，使用matlab7.0版本-Matlab on the use of handwritten letters to identification, the use of matlab7.0 version
nnpractice
- 神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
homework6
- 使用matlab实现手写阿拉伯数字的识别。-Using matlab to achieve the recognition of handwritten Arabic numerals.
Paper1
- The paper describe Segmentation and Recognition of Handwritten Numeric Chains
Paper2
- An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits
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
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
Handwrittendigitrecognition
- Handwritten digit recognition algorithm code with matlab.
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 on.
Handwritten-Numerals
- 手写体数字的识别。使用的是BP神经网络的方法，自己看着能不能用吧，我也就是下个资源-Handwritten digits recognition. Using BP neural networks, their look can use it, and I was the next resource
hanzishibie
- The man on matlab recognition, handwritten Chinese characters can be identified
bp-recognition
- 采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
MNIST-handwritten-digits
- 手写数字识别数据集，MNIST，包括原始数据集的所有样本，以及抽取的2000个样本的子集，.mat格式。美国著名数据集NIST的子集，模式识别常用实验数据集-handwritten digits recognition ,dataset, MNIST from NIST, .mat file,
Handwritten-recognition
- 用BP算法设计分类器，实现对UCI 机器学习数据库中0-9 这10 个手写体数字的训 练和测试。-BP algorithm designed classifier, to achieve the UCI machine learning database 0-9 10 handwritten digits training and testing.
handwritten-digits-recognition
- 用Skeletonization剪枝方法精简BP神经网络结构，提高网络泛化能力，对手写数字进行识别。-Skeletonization pruning method using BP neural network architecture to streamline and improve the network generalization ability of the handwritten digits recognition.
handwritten-recognition-
- 基于MATLAB并利用神经网络实现对手写数字0-9十个数字的识别代码-based on MATLAB and recognition of handwritten digits 0-9 it is mean to design a simple handwritten numeral recognition system using neural network.
handwritten-digits_recognition-
- 一个基于神经网络的手写体数字识别的matlab程序，可以自行进行神经网络训练并识别给出相应的结果-A neural network-based handwritten numeral recognition matlab program, the neural network can be trained to identify themselves and give the corresponding results
Handwritten-numeral-recognition
- matlab环境下实现对手写体数字的分类识别-Handwritten Arabia digital numeral recognition
Handwritten-Character
- 基于CNNs的手写字符识别系统，载入MNIST手写字符数据库，通过训练提取特征，达到99 的识别率-Based on CNNs handwritten character recognition system, load MNIST handwritten character database, extract features through training, up to 99 recognition rate
Handwritten-digit-recognition
- 手写体数字识别matlab程序 含有100个手写字图片-Handwritten digit recognition