[1]WU Jiaming,WU Yiquan.License plate location based on texture features and tent chaotic particle swarm optimization[J].CAAI Transactions on Intelligent Systems,2011,6(4):333-338.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
6
Number of periods:
2011 4
Page number:
333-338
Column:
学术论文—机器感知与模式识别
Public date:
2011-08-25
- Title:
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License plate location based on texture features and tent chaotic particle swarm optimization
- Author(s):
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WU Jiaming; WU Yiquan
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School of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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- Keywords:
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texture feature; tent map; chaotic; particle swarm optimization; license plate location
- CLC:
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TP18;TN911.73
- DOI:
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- Abstract:
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Considering the problems of the low precision ratio and slow arithmetic speed of license plate location, an accurate license plate location method based on tent chaotic particle swarm optimization (TCPSO) was proposed by combining the texture features. First, binarization was adopted to segment the license plate image by the OTSU method, which is based on a 2D histogram oblique. Then the texture feature vector was obtained by three onedimensional filters. With the rapid and accurate searching ability, the best location parameters of license plate area were found by constructing the fitness function with the texture feature vector when introducing the texture coherence into the judgment. At last, the proposed method was compared with a genetic algorithm (GA) and BPSO. The experimental results show that the proposed method has stronger adaptability, better location effect, and shorter running time.