Fake plate vehicle recognition system and method
A recognition system and recognition method technology, which is applied in the field of license plate recognition system, can solve the problem that the specific model of the vehicle cannot be recognized, and achieve the effect of moderate algorithm complexity, reasonable structure and fast operation speed
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Embodiment 1
[0064] Such as figure 1 Shown, a kind of deck car recognition method comprises the following steps:
[0065] Step 1. Install a front-end image acquisition device 1 and a background image processing device 2 at the bayonet of a highway toll station or a parking lot. The front-end image acquisition device 1 and the background image processing device 2 are connected by a data line. Acquisition device 1 comprises 3 cameras, is respectively side camera 1-1, top camera 1-2 and front camera 1-3; Described background image processing device 2 comprises image preprocessing module, vehicle type recognition module, license plate recognition module, image Comparison module and alarm module; when the owner drives by, the camera collects the image data of the car;
[0066] The side camera 1-1 is installed on any side of the road toll station bayonet or parking lot bayonet when the vehicle passes; the top camera 1-2 is installed on the top of the road toll station bayonet or parking lot bay...
Embodiment 2
[0080] A method for identifying a license plate vehicle, comprising the following steps:
[0081] Step 1. The existing car owner drives a car through the checkpoint of the highway toll station, and three cameras collect image data of the car.
[0082] The collected side information of the car is 4368mm in length, 1823 in height, black in color, and 2648mm in front and rear wheelbase.
[0083] The collected top information of the car is 4368mm long, 1823mm wide, and has a sunroof.
[0084] The collected front information of the car is the license plate Su A1234B, the blue license plate and the car logo are Ford.
[0085] Step 2, the camera transmits the collected data to the image preprocessing module through the data line to remove image noise.
[0086] Step 3, send the processed image to the image recognition module for processing.
[0087] The car length, car width, car height, front and rear wheelbase, sunroof, car logo, and color data are used as the input of the neural...
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