资源列表
image-recognition
- 采用matlab实现图像识别，识别快，效率高-Using matlab image recognition, identification fast, high efficiency
tensorflow
- 讲解了tensorflow的简单应用与学习，快速熟悉tensorflow-Explain the simple application of tensorflow and learning, familiar with tensorflow quickly
carplate
- 车牌识别系统 读入车牌图片，进行图片预处理后分割拆牌字符识别并输出
k_means
- k均值聚类 是一种最基础的聚类方法，就是把看起来最集中，最不分散得到标签分配到输入训练样本中去，求局部最优解。-k-means clustering is one of the most basic clustering method is to look the most concentrated, most non-dispersible label assigned to obtain input to the training sample, find local optima.
ASIFT_src
- ASIFT算法，感觉还不错，大家可以-ASIFT Algorithm
gabor_main
- 纹理图像的分割，使用k-means分割，代码主要介绍了特征的提取，具体的参数设定-Texture image segmentation, the use of k-means segmentation, the code describes the feature extraction, the specific parameter settings
text_insert
- 使用libfreetype实现字体加粗、斜体、描边、抗锯齿等功能-Use libfreetype to achieve bold, italic, strokes, anti aliasing and other functions
ChangeToChar
- 图片转字符图，转灰度图后替换成相应密度字符-pic to char
character_identify
- 基于形态学原理的字符检测，准确率达到百分之百，附有原图-Detection principle based on morphological characters, one hundred percent accuracy rate, with picture
KL
- K-L人脸识别，根据训练库中的训练数据。把输入的人脸进行匹配，所采用的算法为K-L算法-K-L face recognition, according to the training data in the training . The input face matching, the algorithm used for the K-L algorithm
tiny-dnn-master
- cnn卷积神经网络实现mnist的手写体识别程序-CNN convolution neural network to realize mnist handwritten recognition program
1213
- 汽车牌照作为车辆的唯一标识，在交通运行中，实现对车辆的跟踪以及确认都离不开车辆牌照的确定，且在交通流的统计中，车型的判别在交通流的统计中也占有举足轻重的作用。特别是在高速公路收费口处车型的判别为收费提供了依据。因此，本文主要设计了一个对车型和车牌图像进行处理的详细过程。本文主要是对车型进行准确的判别以及对车牌图像进行预处理、车牌定位、字符分割等处理。-License Plate Recognition