马来西亚车牌自动识别系统使用Pearson相关

Wong Weng Keong, Vahab Iranmanesh
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引用次数: 10

摘要

车牌自动识别(ANPR)系统通过读取车牌作为输入,自动识别车牌字符作为输出,帮助监控和追踪大量的车辆登记车牌。实际上,在图像采集过程中,各种因素都会导致识别的不准确性,例如板的旋转和光照的不均匀。本文提出了采用去斜操作和模板匹配技术来保持汽车钢板的高精度。在系统的识别过程中,该系统达到了91.1%的总体准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malaysian automatic number plate recognition system using Pearson correlation
Automatic Number Plate Recognition (ANPR) system helps to monitor and track down a large number of vehicle registration number plates by reading the vehicle plates as input and recognize the plates' characters as output automatically. In fact, inaccuracy of recognition can be caused by various factors such as rotation of the plate and non-uniform illumination during image acquisition. In this paper, de-skewing operations and template matching technique are proposed to maintain the accuracy of the car plate at the high level. The suggested system achieved 91.1% of overall accuracy in the recognition process in the system.
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