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Digital identification system source code
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Use code comments very detailed The first step: training network. Training using the training samples. (With or without training in this program because I have trained network parameters saved, the reader can be used to directly identify) Step two: identify. First, open the image (256-color); Thirdly, the normalization process, click on the "all at once"; and, finally, click on the "r" or use the menu to find the appropriate items for identification. Identification of results displayed on the screen, but also in the output to the file result.txt. The recognition rate is typically 90%. In addition, can also be a separate image open picture step by step work, but be aware that each step can only be implemented once again, but also executed sequentially. Specific steps as: "256-color bitmap to grayscale"-"gray image binarization"-the "de-noising"-"slant"-"split"-"standard size"-"c
simple708457
2016-08-23
0
1
OCR text recognition
4.1
Graphical text recognition (OCR) is a common thing. Many programmers want to embed OCR recognition module in your own programs. However, with others-to price too high; do it yourself-too difficult. In fact Microsoft Office2003 launched an OCR module has a good support for Chinese (a brand of no less than the domestic product). There may be many people noticed this nice stuff, but MS_OCR on the VC++ haven't seen the interface and usage disclosure. I publish here a model made of MS_OCR programs, we try, recognition is also good, and supports a variety of graphics formats (BMP,jpg,TIF). Excerpts in other places, hoping to learn together, giving creators a praise.
simple708457
2016-08-23
0
1
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