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Digital Identification System
4.0
Instructions for use:  The first step: training network. Using the training samples for training. (This program may not training because I have to save up the trained network parameters, when the reader can be used in direct recognition)  Step Two: Identify.    First, open the image (256 colors)    Again, a normalization process. Click the "one-time deal."    Finally, click on the "R" or use the menu to find the corresponding item to be identified  Recognition results are displayed on the screen, but also in the output to a file result.txt  Recognition rate of the system is generally 90%  Alternatively, you can open a single picture of an image preprocessing step by step. But pay attention to every step of the work can only be performed again, and executed according to the order. Steps as follows: "256-color bitmap into
cong2008abc434129
2016-08-23
0
1
Vehicle license plate recognition
no vote
A complete license plate recognition system should include vehicle detection, image acquisition, image processing, vehicle license plate location segmentation, character recognition, character, etc. When the vehicle reaches the trigger image acquisition unit, systems acquisition of the current video image, license plate recognition unit to handle the image, locate a licence and character segmentation in the recognition of a licence, and then make up the licence number of the output. Click run.m run are remarkably accurate.
cong2008abc434129
2013-10-31
1
1
No more~