4.2.1 灰度图像规格化·······························································································39
4.2.2 最大类间类内距离比准则下的最佳门限的二值化方法·································39
4.2.3 字符分割步骤···································································································40
4.2.4 实验结果及分析·······························································································42
4.3 本章小结······················································································································45
第5章 多分类器融合的车牌字符识别·······························································46
5.1 基于Zernike 矩的车牌字符识别···············································································46
5.1.1 Zernike矩的定义及特征选择············································································46
5.1.2 Zernike矩字符识别分类器设计方案································································48
5.1.3 基于感知器准则函数最小化法对Zernike矩字符识别分类器的改进···········49
5.2 模板匹配字符识别······································································································51
5.2.1 传统的模板匹配方法························································································51
5.2.2 一种改进的模板匹配方法················································································51
5.3 基于Zernike矩和模板匹配的车牌字符识别·····························································53
5.4 本章小结······················································································································55
第6章 全文总结与展望·······················································································56 参考文献··················································································································58 致 谢··················································································································62 攻读硕士学位期间发表的论文···············································································63
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