节点文献
车牌自动识别中的字符特征提取方法
Character Feature Extraction for Car Plate Recognition
【摘要】 根据车牌实际特征即车牌汉字为50个汉字中的一个且字体一致的特点,对汉字进行了统计特征分析,提出了适用于神经网络字符识别系统的汉字特征提取和复合特征分类方法。识别准确率和效率相对于其他特征提取方法有很大提高。
【Abstract】 The statistical features of Chinese characters are analysed in terms of the actual characteristics that the total number of Chi- nese characters for car’s license is 50 and their typeface is consistent.The method of feature extraction of Chinese characters and compound characteristic classification is put forward,which is suitable for the character recognition system by neutral net- work.The recognition accuracy and efficiency of this method are improved compared with other feature extraction methods.
【关键词】 特征提取;
熵;
游程;
神经网络;
分类;
【Key words】 Feature extraction; Entropy; Tourist itinerary; Neutral network; Classification;
【Key words】 Feature extraction; Entropy; Tourist itinerary; Neutral network; Classification;
【基金】 黑龙江省国际科技合作项目(WC03119)。
- 【文献出处】 东北林业大学学报 ,Journal of Northeast Forestry University , 编辑部邮箱 ,2006年03期
- 【分类号】TP391.41
- 【被引频次】9
- 【下载频次】444