A Method about License Plate Attribute Identification Using Maximum Distance of Character Pixels
基于最大字符像素距离计算的牌照属性判别方法

A novel algorithm for the license plate attribute identification is presented(attribute means one-row or two-row characters that license plate really has in this paper).The proposed approach provides a solution to the traditional vehicle license plate recognition system to differentiate the existing license plates with different style based on their dissimilarities in size,character number and alignment fashion.It overcomes the defects caused by the traditional methods based on pixels projection.What it remarkably differs from the traditional methods is the application of image pruning and the calculation of maximum character pixels distance,which increases the identification rate to an extent.The approach takes the pixels' spatial distribution into account.There are four steps to perform the attribute identification,that is,object region extraction,margin detection,maximum character pixels distance calculation and hierarchical-based distributed fusion.Experimental results demonstrate the method's accuracy,feasibility and robustness.It would be a potentially significant contribution to the active area of license plate recognition system.