Autovehicle License Plates Recognition
This system allows you to recognize the license number printed on motor vehicles plates.
The base system is made up by the following elements:
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A host computer:
a PC, running Windows95/98/NT/2000/Xp, for hosting the core engine and the application software;
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Two input devices:
a CCD camera for capturing images and a photocell for triggering process;
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Two pc interface boards:
an I/O port and an image capture board;
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The core engine:
the capture and recognition software;
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The application software:
the customized software for end-user application;
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Some accessories:
lamps for improving image capture,
supports/piles for mounting the components,
case to contain the host computer;
The operation is done in several steps:
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A trigger input (i.e. a photocell) opens the reading process;
- The CCD camera, using an infra-red filter, captures a 256 grayscale image that will be elaborated by the system;
- The system finds the plate position in the images, skipping background elements as car, street, peoples, banners, etc...;
- The extracted image of the plate is converted in monochrome format, using a dynamic thresholding binarization processing;
- Each character of the plate is recognized using a neural network classifier expressly trained on this type of shapes;
- The recognized string is validated using an
array of allowed patterns;
- The result string, extracted with a confidence level, and the recognized images are reported to the application software;
- The application software can verify the presence of the plate number in a list and it decides whether executing an action as opening a bar/gate,
switching a semaphore, printing a ticket, etc..
Performance is very good even if the process is complex: the system needs less than 5 seconds to recognize the licence plate with an accuracy that gets over the 90% of correct matching!>
The application software needs to be customized according to the process that follows the recognition phase.
Here are some images that can be easily read:



Further Info
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