| 基于Fisher准则特征融合策略的PNN车牌汉字识别 |
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| 引用本文： | 高全华,张士勇,孙锋利.基于Fisher准则特征融合策略的PNN车牌汉字识别[J].现代电子技术,2010,33(8):106-110. |
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| 作者姓名： | 高全华 张士勇 孙锋利 |
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| 作者单位： | 1. 长安大学,理学院,陕西,西安,710064
2. 西北工业大学,电子信息学院,陕西,西安,710077 |
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| 摘 要： | 为克服图像二值化预处理的不利影响，提高汉字字符图像特征的表征能力，降低传统算法的训练复杂度，在此直接应用车牌字符灰度图像，基于Fisher准则对提取的Pseudo—Zernike矩特征和Gabor变换特征进行融合，在最佳鉴别矢量方向上求得表达能力更强的融合特征。训练结构简单、速度较快的概率神经网络作为识别器，实现车牌汉字的正确、快速识别。试验表明，此算法无需对车牌汉字图像二值化，与所采用的概率神经网络识别器相比，传统BP，SVM等的训练复杂度降低，速度提高，经表征能力更强的融合特征训练后，具有更高的识别准确率。
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| 关 键 词： | Fisher准则 鉴别矢量 特征融合 概率神经网络 车牌汉字识别 |
PNN Recognition of Chinese Characters on License Plate Based on Fisher Discriminant Criterion Feature Fusion Strategy |
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| GAO Quan-hua,ZHANG Shi-yong,SUN Feng-li.PNN Recognition of Chinese Characters on License Plate Based on Fisher Discriminant Criterion Feature Fusion Strategy[J].Modern Electronic Technique,2010,33(8):106-110. |
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| Authors: | GAO Quan-hua ZHANG Shi-yong SUN Feng-li |
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| Affiliation: | GAO Quan-hua1,ZHANG Shi-yong1,SUN Feng-li2 (1.College of Science,Chang\'an University,Xi\'an 710064,China,2.college of Electronic , Information,Northwest Polytechnic University,Xi\'an 710077,China) |
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| Abstract: | A novel algorithm for recognizing Chinese characters on license plate is proposed so as to achieve three purposes: overcoming disadvantages of two-value preprocessing,raising the characterization ability of image features and decreasing training complexity of traditional algorithms.According to Fisher discriminant criterion,two kinds of image features,Pseudo-zernike moments and Gabor transforming coefficients are fused along the direction of the optimal discriminant vectors.The new fused feature has better ... |
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| Keywords: | Fisher discriminant criterion discriminant vector feature fusion probabilistic neural network recogonition of Chinese character on license plate |
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