Real-Time License Plate Recognition on an Embedded DSP-Platform

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...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Clemens Arth, Florian Limberger, Horst Bischof
• Keywords: Character Recognition Module, Computer Vision, CVPR 2007, License Plate Detection, License Plates, Subsequent Frames, Support Vector Classification