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文章基本信息

  • 标题:An Efficient Approach for Number Plate Extraction from Vehicles Image under Image Processing
  • 本地全文:下载
  • 作者:Sarbjit Kaur ; Sukhvir Kaur
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:3
  • 页码:2954-2959
  • 出版社:TechScience Publications
  • 摘要:Automatic Number Plate Recognition (ANPR) is an image-processing technology and an important field of research that identifies vehicles by their number plates in which the number plate information is extracted from vehicle's image or from sequence of images without direct human intervention. ANPR consists of 4 phases: - Preprocessing, number plate extraction, character segmentation, character recognition. This paper presents an efficient approach for number plate extraction from preprocessed vehicle input image using morphological operations, thresholding, sobel vertical edge detection and connected component analysis. The input image is firstly preprocessed using iterative bilateral filter and adaptive histogram equalization
  • 关键词:Automatic Number Plate Recognition; iterative;bilateral filter; adaptive histogram equalization; number plate;extraction; morphological operations; thresholding; sobel edge;detection; connected component analysis.
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