Identification of Thai characters and numbers on plate number

K. Sirisantisamrid
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引用次数: 2

Abstract

This paper proposes a method of Thai characters and numeral identification on plate number. The proposed method consists of license plate detection and identification of characters and numbers. In the license plate detection, the vertical edges, the vertical projection, and some operations of morphology are used to searching for license plate location. Once plate location is known, the identification of characters and numbers starts from inversion of binary image, character and number segmentation, normalization, computation of the horizontal and vertical DCT coefficients. Finally, the impulse response of FIR system of character and number are determined using the horizontal and vertical DCT coefficients as input and output of FIR system. The unknown characters or numbers on the plate number can be identified by comparison of their impulse response with the impulse responses of known characters and numbers in database, if the sum square error of them is smallest. On experiments, it found that the correct detection of license plate is about 95.52% and the accuracy of characters and numeral identification is about 81.25%.
车牌号码上的泰文字符和数字识别
提出了一种车牌号码上的泰文及数字识别方法。该方法包括车牌检测和字符数字识别。在车牌检测中,利用垂直边缘、垂直投影和一些形态学运算来搜索车牌位置。一旦确定了车牌位置,字符和数字的识别就从二值图像的反演、字符和数字的分割、归一化、水平和垂直DCT系数的计算开始。最后,利用水平和垂直的离散余弦变换系数作为FIR系统的输入和输出,确定了FIR系统的脉冲响应的特征和数量。车牌号码中未知字符或数字的脉冲响应与数据库中已知字符或数字的脉冲响应比较,如果它们的平方和误差最小,则可以识别未知字符或数字。通过实验发现,车牌识别正确率约为95.52%,字符数字识别正确率约为81.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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