| Summary: | 碩士 === 明新科技大學 === 電子工程研究所 === 98 === The recognition of license plate system has been resear ched for more than ten years. The recognition rate could not be raised efficiently and be utilized in daily as a result of hardware and software development was unstable in the initial stage. More amd more recognition of license plate system be not applied in daily until hardware and software were developing quickly recently.
The most important things to recognition of license plate system are high recognition rate efficiently and take a few time as less as possible. Now all related research are depended on this direction. The paper is that used an improved iterative method binarization as a pre-processing and a continuous filter method be used to clean noise. Then character recognition would be used the way of identification samples that is fast to recognizw. It can be raised its recognition rate, base on a lot of samples. Following the different recognition theorem, however, it’s able to achieve high recognition rate without a large number of samples.
For the experimental result, the paper had been taken more than 200 pcs photos of the actual license plates as test sample. The recognition rate is 97.60% and the average it cost to recognize a license plate is only 0.1 second.
|
|---|
