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| 分行显示数字仪表读数的自动识别 | |
| 引用本文： | 张艳玲,汪仁煌,黄挺. 分行显示数字仪表读数的自动识别[J]. 计算机工程, 2007, 33(23): 223-225 |
| 作者姓名： | 张艳玲 汪仁煌 黄挺 |
| 作者单位： | 1. 广东工业大学自动化学院,广州,510080;广州大学信息学院,广州,510006 2. 广东工业大学自动化学院,广州,510080 3. 广州大学信息学院,广州,510006 |
| 摘 要： | 引入HSV色彩空间，提出一种自动识别字符色泽的算法。用减背景、色泽分析方法进行字符的提取，用投影方法进行单个字符的分割。采用BP网络学习算法，构造了一个3层BP神经网络模型，对数字0~9进行识别。实验表明该方法具有很强的鲁棒性。 |
| 关 键 词： | HSV色彩空间 字符色泽识别 减背景技术 BP神经网络 |
| 文章编号： | 1000-3428（2007）23-0223-03 |
| 收稿时间： | 2007-01-15 |
| 修稿时间： | 2007-01-15 |
Automatic Reading Recognition for Digital Meter Displayed with Rows |
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| ZHANG Yan-ling,WANG Ren-huang,HUANG Ting. Automatic Reading Recognition for Digital Meter Displayed with Rows[J]. Computer Engineering, 2007, 33(23): 223-225 | |
| Authors: | ZHANG Yan-ling WANG Ren-huang HUANG Ting |
| Affiliation: | (1. School of Automation, Guangdong University of Technology, Guangzhou 510080; 2. School of Information, Guangzhou University, Guangzhou 510006) |
| Abstract: | This paper introduces HSV color space and an algorithm of automatic recognition character color. By using background subtraction technique and color analysis methods, the positions of characters are found, and characters are segmented with projection algorithm. BP neural network is applied in characters recognition to identify the number 0 to 9. Experimental results show that the proposed scheme is feasible and has great robustness. |
| Keywords: | HSV color space character color recognition background subtraction technique BP neural network |
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