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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第23期223-225,共3页
Computer Engineering
关键词
HSV色彩空间
字符色泽识别
减背景技术
BP神经网络
HSV color space
character color recognition
background subtraction technique
BP neural network
