Representation of Thai character features with impulse response of FIR system

K. Sirisantisamrid
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引用次数: 3

Abstract

This paper proposes a concept of how to representation of Thai character features with impulse response of FIR system. The character or numeral image captured by a digital camera is converted to binary image. The character and numeral features extraction method is performed that consists of edge contour detection, thinning, and searching for coordinates of character and number. Then its coordinates is normalized and the DCT coefficients in horizontal and vertical components of coordinates are calculated. Finally, the impulse response of FIR system of that character and number is determined by setting the DCT coefficients in horizontal and vertical components as input and output of FIR system, respectively. The aim of this research is to apply the proposed concept to identify and recognize the characters and numbers on Thai license plate. On experiments, 100 car images are tested to identify the characters and numbers of plate number on Thai license plate. The experimental results shown the accuracy of the proposed method is about 87%.
用FIR系统的脉冲响应表示泰文特征
本文提出了用FIR系统的脉冲响应来表示泰文特征的概念。数码相机捕捉到的字符或数字图像被转换成二值图像。采用边缘轮廓检测、稀疏化、字符和数字坐标搜索等方法进行字符和数字特征提取。然后对其坐标进行归一化,计算坐标的水平分量和垂直分量的DCT系数。最后,通过将水平分量的DCT系数和垂直分量的DCT系数分别作为FIR系统的输入和输出,确定具有该特征和数量的FIR系统的脉冲响应。本研究的目的是应用提出的概念来识别和识别泰国车牌上的字符和数字。在实验中,对100张汽车图像进行了测试,以识别泰国车牌上的车牌号码的字符和数字。实验结果表明,该方法的准确率约为87%。
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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