| 遗传优化神经网络实现的人民币号码识别系统 |
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| 引用本文： | 李童,罗代升,王正勇.遗传优化神经网络实现的人民币号码识别系统[J].四川大学学报(自然科学版),2007,44(4):812-816. |
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| 作者姓名： | 李童 罗代升 王正勇 |
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| 作者单位： | 四川大学电子信息学院,成都,610064 |
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| 摘 要： | 目前人工神经网络广泛的应用于各种模式识别以及自动控制等系统中，该系统利用了图像去噪，分割，倾斜度调整，字符分割，字符归一化等图像预处理之后，将人民币号码图像进行特征提取，应用神经网络进行识别.同时，用遗传算法对人工神经网络进行网络权值的优化，加快了训练速度，提高了识别率.
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| 关 键 词： | 人工神经网络 遗传算法 特征提取 |
| 文章编号： | 0490-6756（2007）04-0812-05 |
| 收稿时间： | 8/8/2006 12:00:00 AM |
| 修稿时间： | 2006-08-08 |
RMB number recognition system based on neural networks optimized by genetic algorithm |
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| LI Tong,LUO Dai-sheng and WANG Zheng-yong.RMB number recognition system based on neural networks optimized by genetic algorithm[J].Journal of Sichuan University (Natural Science Edition),2007,44(4):812-816. |
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| Authors: | LI Tong LUO Dai-sheng and WANG Zheng-yong |
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| Institution: | College of Electronics and Information Engineering,Sichuan University,College of Electronics and Information Engineering,Sichuan University,College of Electronics and Information Engineering,Sichuan University |
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| Abstract: | Now,Neural Networks have been applied to many kinds of pattern recognition and autocontrol system widely.RMB number recognition system presented in this paper used noise elimination,image segmentation,gradient emendation,characters partition,and size standardization to pretreat the image.Then,the system extracted the features.Neural Networks are used to recognize the letters and numbers of RMB.In this system,Genetic algorithm is used to optimize the networks,by this way,we can shorten the training time effectively and increase the recognition rate. |
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| Keywords: | neural networks genetic algorithm feature extraction |
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