Title :
Multiple license plate detection for complex background
Author :
Hsieh, Ching-Tang ; Juan, Yu-Shan ; Hung, Kuo-Ming
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
Abstract :
This paper presents a wavelet transform based method for extracting license plates from cluttered images. The proposed system consists of three major stages. First, a wavelet transform based method is used for extracting important contrast features as guides to search for desired license plates. Then, finding a reference line in HL subimage plays an important role to locate the desired license plate region roughly. According to the reference line we can decrease the searching region of license plate and speed up the execution time. The last stage of the method is to locate the license plate accurately by license plate adjustment. More importantly, the proposed detection method can locate multiple plates with different orientations in one image. Since the feature extracted is robust to complex backgrounds, the proposed method works well in extracting differently illuminated and oriented license plates. The average accuracy of detection is 92.4%.
Keywords :
character recognition; edge detection; feature extraction; object detection; transportation; wavelet transforms; HL subimage; candidate region verification; character segmentation; cluttered images; complex background; contrast feature extraction; license plate detection; license plate extraction; license plate region; reference line; wavelet transform; Character recognition; Data mining; Feature extraction; Image segmentation; Information management; Licenses; Robustness; Transportation; Vehicle detection; Wavelet transforms; Wavelets transform; candidate region verification; character segmentation; k-mean; license plate detection;
Conference_Titel :
Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on
Print_ISBN :
0-7695-2249-1
DOI :
10.1109/AINA.2005.257