The Research for License Plate Recognition using Sub-Image Fast Independent Component Analysis
会议名称：《2011 Chinese Control and Decision Conference（CCDC）》
会议日期：2011年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：plate recognition fast independent component analysis character segmentation difference projection
摘 要：In order to solve the problem that current license plate recognition methods,such as template matching and neural network computing,which need a large number of samples and large amount of computation,this paper proposed a sub-image fast independent component analysis （SI-FastICA） method for plate *** can obtain the local feature of the image with a small amount of *** order to obtain better recognition results,in the stage of character segmentation,this paper carried segmentation based on the proposed relative coordinate ***,the feature of characters was extracted by *** experiments show that SI-FastICA can reflect the local characteristics of the character very *** last,this paper put the collected actual license plate images into experiment,and achieved good recognition results.