摘要
运用随机分形特征描述了车牌字符的形态、复杂程度和不规则性特征,结合小波变换,使得车牌字符的分形特征描述更加丰富,同时避免了分形维数计算阈值选择带来的问题.模拟结果表明分形和小波结合使用的方法为车牌字符识别提供了新途径,但计算量较大.
This paper uses random fractal character to describe complexity and characteristics. At the same time, it solves the the shape of vehicle license character, its problem that was caused by the chosen threshold when calculating the fractal dimension. Simulation results show that the method joining the fractal to wavelet is a new feasible approach to recognize vehicle license characters. But it should be mentioned that the calculation is mass.
出处
《广东工业大学学报》
CAS
2005年第4期58-61,共4页
Journal of Guangdong University of Technology
基金
广东省自然科学省基金项目((2003)32475)
关键词
分形
分形维数
小波变换
车牌
字符识别
fractal
fractal dimension
wavelet transform
vehicle license
character recognition