Real-Time License Plate Recognition on an Embedded DSP-Platform
Real-Time License Plate Recognition on an Embedded DSP-Platform
复制标题
DOI：
10.1109/cvpr.2007.383412
复制
发表时间：
2007-06
期刊：
影响因子：
--
通讯作者：
Clemens Arth;Florian Limberger;H. Bischof
中科院分区：
文献类型：
--
作者：
Clemens Arth;Florian Limberger;H. Bischof
In this paper we present a full-featured license plate detection and recognition system. The system is implemented on an embedded DSP platform and processes a video stream in real-time. It consists of a detection and a character recognition module. The detector is based on the AdaBoost approach presented by Viola and Jones. Detected license plates are segmented into individual characters by using a region-based approach. Character classification is performed with support vector classification. In order to speed up the detection process on the embedded device, a Kalman tracker is integrated into the system. The search area of the detector is limited to locations where the next location of a license plate is predicted. Furthermore, classification results of subsequent frames are combined to improve the class accuracy. The major advantages of our system are its real-time capability and that it does not require any additional sensor input (e.g. from infrared sensors) except a video stream. We evaluate our system on a large number of vehicles and license plates using bad quality video and show that the low resolution can be partly compensated by combining classification results of subsequent frames.
