| Summary: | 碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 95 === The intelligent security surveillance system is actively pushed by the governments in Taiwan and other countries in the last few years. With the high technology, it provides the traditional security surveillance system with higher application. Thus a car license plate recognition system based on the digital image processing technique recently becomes a popular research topic. The car license plate recognition system includes three parts: License-Plate Location, Character Extraction, and License-Plate Recognition.
In this paper, we derive a new method of the automatic car license plate recognition system in a safely monitored environment. To License-Plate Location, we analyze and describe the features of a car license plate through independent component analysis. We can obtain the features of the car license plate through the independent component analysis filters. The result shows that the average accuracy can be up to 94.3% in different weather and situations. It is higher than the traditional edge-based method which is about 80.6%.
We proposed the new dynamic threshold methods for character extraction. It can mostly finish the character extraction in the conditions of shadow variety and contamination of the license plate character. To License-Plate Recognition, we proposed a method to rapidly classify the character based on the structure of character. We can real-time and accurately achieve the character recognition with template matching method. It shows that in the road of high variety environment, the average accuracy of the License-Plate Recognition is 86.3%.
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