数学杂志2017，Vol.37Issue(2)：439-444,6.
基于旋转变换和鲁棒主成分分析的车牌校正方法
CORRECTION METHOD OF VEHICLE LICENSE PLATE BASED ON ROTATION TRANSFORMATION AND ROBUST PRINCIPAL COMPONENT ANALYSIS
摘要
Abstract
In this paper, we study the problem of correcting the license plate image which are polluted by non-gaussian noise or with incomplete border information. By using the method of robust principal component analysis and rotation transformation, a more general applicability method of license plate correction is obtained. Through the comparison of the correction results with the method of principal component analysis and rotation projection, we popularizes the conclusion that the proposed mthod has better robustness and general applicability than other methods.关键词
鲁棒主成分分析/低秩/恢复/旋转Key words
robust principal component analysis/low-rank/recovery/rotate分类
信息技术与安全科学引用本文复制引用
臧玉婷,黄樟灿,刘海明,熊江,孙昊..基于旋转变换和鲁棒主成分分析的车牌校正方法[J].数学杂志,2017,37(2):439-444,6.基金项目
中央高校基本科研业务费专项资金资助(2015-zy-114). （2015-zy-114）
