A Real Time License Plate Detection System Based on Boosting Learning Algorithm
文献类型：会议论文
| 作者 | Thanh-Tung NGUYEN; Thuy Thi NGUYEN |
| 出版日期 | 2012 |
| 会议名称 | 5th International Congress on Image and Signal Processing (CISP) |
| 会议地点 | 中国 |
| 英文摘要 | Boosting is one of the most well-known and effective techniques in machine learning. The success of using boosting for training a face detector [28] has paved the way of using boosting for training object detectors and made it widely used in computer vision. In this work we present a new framework for fast and automatic detection of vehicle license plate based on boosting learning algorithm. Beside the traditional Haar-like features, we propose to use local binary pattern (LBP) feature for its robust and discriminative power. The boosting classifiers are trained on these features and then combined in an efficient way to achieve high performance. An intensive set of experiments have been conducted. The results show that the classifier with LBP outperform that of Haar-like in the same scenario for the license plate detection problem. By combining them in an reasonable way, our proposed system can perform in real time for detection of license plates with the accuracy up to 100%, outperform state-of-the-art approaches. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4319]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Thanh-Tung NGUYEN,Thuy Thi NGUYEN. A Real Time License Plate Detection System Based on Boosting Learning Algorithm[C]. 见:5th International Congress on Image and Signal Processing (CISP). 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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