电子科技2012，Vol.25Issue(11)：91-94,4.
复杂天气条件下的车牌信息识别
License Plate Identification in Complex Weather Conditions
李新煜 1杨艳静 1舒畅1
作者信息
- 1. 电子科技大学通信与信息工程学院,四川成都611731
- 折叠
摘要
Abstract
In complex weather conditions,the distortion of the license plate imaging caused by the fog or glare makes it difficult to accurately identify plate information by the traditional image-based license plate identification method.By the Dark Channel Prior proposed by He Kaiming and histogram equalization method,the interference caused by weather conditions can be effectively eliminated,followed by image restoration and correction by morphology method,and finally,the license plate information can be recognized accurately based on the BP neural network.Experimental results show that the restored license images are clear and the recognition effect is good under the bad weather conditions.关键词
图像增强/二值形态学/图像分割/BP神经网络/车牌识别Key words
image enhancement/binary morphology/image segmentation/BP neural network/license plate recognition分类
信息技术与安全科学引用本文复制引用
李新煜,杨艳静,舒畅..复杂天气条件下的车牌信息识别[J].电子科技,2012,25(11):91-94,4.
