摘要
为准确、高效地识别集装箱箱号,提出一种基于组合特征实现箱号识别的方法。对分割好的字符二值图像预处理后提取孔洞特征、凹凸特征、跳变特征、笔画特征等,利用树形分类器进行分类识别,并结合箱号自身的校验规则进行验证、识别。该方法不需要对字符图像做复杂的细化处理,提高了运算速度,避免了细化造成的字符畸变。实验结果表明,该方法平均箱号正确识别率可以达到93%,每箱号(11个字符)平均识别时间为0.065s。
In order to recognize container code precisely and effectively,a recognition method of container code based on combined features is proposed.After preprocessing the segmented binary image of single character,the character features including hole,concave-convex,leap,stroke,etc.are extracted.Then the tree-like classifier is used to classify and recognize the container code,and combine the validation rules to verify the results.The method doesn＇t need complex thinning procedure on the character image,improves the computational speed and avoids the character distortion.Experiment results show that the average recognition rate can reach 93%,and the recognition speed can reach 0.065 second per container code（including 11 characters）.
出处
《计算机与现代化》
2011年第9期78-81,85,共5页
Computer and Modernization
基金
上海海事大学校基金资助项目(20100138)
关键词
箱号识别
图像预处理
特征提取
树形分类器
container code recognition
image preprocessing
feature extraction
tree-like classifier
