| Automatic Vehicle License Recognition Based on Video Vehicular Detection System |
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| 作者姓名： | 杨兆选 陈杨 何英华 吴骏 |
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| 作者单位： | School of Electronic Information Engineering Tianjin University Tianjin 300072 China，School of Electronic Information Engineering Tianjin University Tianjin 300072 China，School of Electronic Information Engineering Tianjin University，Tianjin 300072，China，School of Electronic Information Engineering Tianjin University，Tianjin 300072，China |
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| 基金项目： | Supported by Science Development Foundation of Tianjin (No. 033183311) . |
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| 摘 要： | Traditional methods of license character extraction cannot meet the requirements of recognition accuracy and speed rendered by the video vehicular detection system. Therefore, a license plate localization method based on multi-scale edge detection and a character segmentation algorithm based on Markov random field model is presented. Results of experiments demonstrate that the method yields more accurate license character extraction in contrast to traditional localization method based on edge detection by difference operator and character segmentation based on threshold. The accuracy increases from 90% to 94% under preferable illumination, while under poor condition, it increases more than 5%. When the two improved algorithms are used, the accuracy and speed of automatic license recognition meet the system's requirement even under the noisy circumstance or uneven illumination.
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| 关 键 词： | 车辆执照识别 执照定位 特征分割 车辆检测 |
| 收稿时间： | 2006-03-03 |
Automatic Vehicle License Recognition Based on Video Vehicular Detection System |
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| YANG Zhaoxuan,CHEN Yang,HE Yinghua,WU Jun.Automatic Vehicle License Recognition Based on Video Vehicular Detection System[J].Transactions of Tianjin University,2006,12(3):199-203. |
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| Authors: | YANG Zhaoxuan CHEN Yang HE Yinghua WU Jun |
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| Abstract: | Traditional methods of license character extraction cannot meet the requirements of recognition accuracy and speed rendered by the video vehicular detection system. Therefore, a license plate localization method based on multi-scale edge detection and a character segmentation algorithm based on Markov random field model is presented. Results of experiments demonstrate that the method yields more accurate license character extraction in contrast to traditional localization method based on edge detection by difference operator and character segmentation based on threshold. The accuracy increases from 90% to 94% under preferable illumination, while under poor condition, it increases more than 5%. When the two improved algorithms are used, the accuracy and speed of automatic license recognition meet the system's requirement even under the noisy circumstance or uneven illumination. |
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| Keywords: | vehicle license recognition license plate localization character segmentation |
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