搜索资源列表
test1
- 需要tesseract ocr api支持，测试用手写识别(Tesseract OCR API support is required for handwriting recognition test)
基于航天遥感图像的飞机目标识别
- 基于航天遥感图像的飞机目标识别，算法简单实用，检测率也不错。(Aircraft target recognition based on space remote sensing images, the algorithm is simple and practical, and the detection rate is good.)
基于加权小波分形的卫星遥感图像飞机类型识别
- 基于加权小波分形的卫星遥感图像飞机类型识别，检测率不错，推荐。(The detection rate of satellite remote sensing image based on weighted wavelet fractal is good, and it is recommended.)
Adaboost人脸识别(有GUI)
- 实现人脸识别，有多种算法，包含gui界面，识别率高，程序易懂，值得借鉴(The realization of face recognition has a variety of algorithms, including the GUI interface, high recognition rate, easy to understand program, and it is worth reference.)
基于pca+lda+粗糙集+模糊神经网络的人脸识别
- 各种算法用于人脸识别，各个算法的识别率都不错，有lda,pca等算法(Various algorithms are used for face recognition, and the recognition rate of each algorithm is good. There are algorithms such as LDA, PCA and so on)
test
- 该方法利用人脸具有镜像对称的自然特性，依据奇偶分解原理，生成成镜像奇、偶对称样本，井利用人脸对称图像作为训练样本，再利用主分量分析(PCA)对训练样本进行二阶相关和降维处理，然后对处理后的样本进行ICA特征提取。理论和分析实验证明，该算法有效减线了人脸受到视角、光照、人脸表情、姿势变化等因素的最响，又增加了训练样本容量，减少了计算复杂度，同时有效解决了小样本问题，提高了识别率.(The method uses the natural characteristics of mirror symme
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
31175278moulationclassification
- 主要是实现调制识别，区分几种常用的数字调制信号。含有两个文件夹 其一为特征参数的仿真；其二为正确识别率的仿真。文件夹key feature simulink中： 运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性，见图。 文件夹classification rate simulink中：运行main.m文件 可以得到正确识别率 见图。(It is mainly to realize modulation recognition and distinguish severa
EasyPR-master
- 能够有效从自然环境中定位以及识别车牌，利用人工神经网络ANN，进行数字识别，识别率达到90%(The ability to locate and identify the license plate effectively from the natural environment)
zhiwen
- 这个程序就是从联合开发网下载的，但是有一个错误导致识别率不足60%。 原始版本在图像旋转后提取的指纹中心点算法有误，每次提取的中心点都在图像边缘，造成后面提取的FingerCode也会出错。 这个修改使旋转前的中心点与旋转后的中心点保持一致，同时减少了运算复杂度(This program is downloaded from www.pudn.com, but one error led to recognition rate of less than 60%. The original
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
936991729Handwriting-recognition
- matlab 应用图像处理知识，实现对数字的识别，识别率高(Matlab applies the knowledge of image processing to realize the recognition of the numbers and the high recognition rate)
fft测试程序2
- 提取了一种手势识别的算法，通过皮肤颜色模型将手势分割出来，然后追踪其边缘，再通过傅里叶系统作为特征向量进行识别。识别率很高的。(A gesture recognition algorithm is extracted from the skin color model, then the gestures are segmented, then the edges are traced, and then the Fourier system is used as the feature vec
LPR-Matlab-master
- 基于matlab的车牌识别系统，有良好的gui，识别率良好。(The license plate recognition system based on MATLAB has good GUI and good recognition rate.)
FaceRecognition
- 基于matlab平台的人脸识别 简单代码 识别率还行 大家可以看看(Based on the matlab platform face recognition simple code, the recognition rate is also ok you can see.)
Recognition
- 编写基于matlab，对手写字符识别可以达到90%的识别率。(Based on MATLAB, the recognition rate of handwritten character can reach 90%.)
颜色识别
- 识别红绿蓝3种颜色，lcd1602显示颜色评率，可调节阈值。(Identify 3 colors of red, green and blue. LCD1602 shows the color rating and adjusts the threshold.)
26个字母识别 用matlab实现的
- 用matlab实现的26个字母识别。基于BP算法的字母识别其容错性和识别率相对较高，在有噪声的情况下训练其识别出错率也相应增加，许进一步改进。(26 letter recognition implemented with MATLAB.The letter recognition based on BP algorithm has a relatively high fault tolerance and recognition rate, and the error rate of recog
utf8''Traffic-sign-recognition
- 项目基于Tensorflow进行实现。 #### 文件说明： --- * input_data.py: 图片的输入 * traffic_sign_cnn.py: 用cnn进行训练分类 * testDemo.py: 用于测试已经训练出来的模型，输入单个图片输出结果，并分类到文件夹 #### 数据集说明： --- * 这里是列表文本使用的是比利时的交通标志数据集，可以网上自己找，里面有62个分类。 #### 网络说明： --- *