[Graph Recognize] CNN

Description: CNN code with Java. From github deep learning toolbox
Platform: | Size: 4096 | Author: michael | Hits:

[Graph Recognize] test3

Description: Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles
Platform: | Size: 8460288 | Author: 刘彧 | Hits:

[Graph Recognize] face-recongnise

Description: This is a picture identification of the source, based in C
Platform: | Size: 1024 | Author: 夜未央 | Hits:

[Graph Recognize] work

Description: find round using Hough circle transform
Platform: | Size: 25600 | Author: zhaoshijie | Hits:

[Graph Recognize] 1221sparsematrixshowaimage

Description: sparse matrix show as image
Platform: | Size: 1024 | Author: 王慧 | Hits:

[Graph Recognize] OCR_ImageReg

Description: C# will be read by the graphics uploaded CAPTCHA image, and analyzed to identify, read the corresponding text
Platform: | Size: 1547264 | Author: sai | Hits:

[Graph Recognize] dipfinal

Description: Call open source OCR engine pytesser recognize text files.
Platform: | Size: 229376 | Author: meng | Hits:

[Graph Recognize] Kmeans

Description: Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided
Platform: | Size: 107520 | Author: apple | Hits:

[Graph Recognize] VzLPRSDKDemo

Description: A license plate image recognition related to the source code, hoping to license plate recognition development people have some help
Platform: | Size: 29893632 | Author: 胡家黎 | Hits:

[Graph Recognize] echarts_a5

Description: Provide commercial products commonly used graph, the underlying based on ZRender (a new lightweight canvas class), create the coordinates, legend, suggesting that, toolbox, and other basic components, and then construct
Platform: | Size: 3939328 | Author: Legend | Hits:

[Graph Recognize] haar-like-Face-detection

Description: Extracting ababoost face detection, haar-like features
Platform: | Size: 55296 | Author: 杨欢 | Hits:

[Graph Recognize] digital-identification-system

Description: This is a digital identification system, using C++ Visual development. Process: 256 color bitmap to grayscale - binarization - denoising - tilt correction - segmentation - standard size - tight .
Platform: | Size: 175104 | Author: 张鹏 | Hits: