Title :
A license plate detection and character segmentation method under difficult conditions
Author :
Benou, Itay ; Yochanan, Rotem
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
Abstract :
This paper presents a novel frame-by-frame license plate detection and character segmentation method for security applications. The system is based on edge statistics, mathematical morphology and typical license plate grayscale pattern. The system locates and extracts Israeli license plates from a grayscale video which was recorded under difficult illumination conditions. While existing systems usually operate in a lenient environment, the proposed system works under highly complex conditions. The system consists of three stages: 1) Extraction of the region of interest (ROI). 2) License plate search and classification of possible candidates. 3) Character segmentation. The system was tested on a video data containing 4668 frames, and achieved a success rate of 86.6%.
Keywords :
feature extraction; image colour analysis; image segmentation; object detection; statistical analysis; video signal processing; Israeli license plate extraction; ROI extraction; character segmentation method; edge statistics; frame-by-frame license plate detection; grayscale video; license plate grayscale pattern; mathematical morphology; region of interest extraction; security applications; video data; Gray-scale; Image color analysis; Image edge detection; Licenses; Lighting; Morphology; Vehicles; character segmentation; license plate detection;
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4673-4682-5
DOI :
10.1109/EEEI.2012.6376951