Skew and Slant Corrections for IR Images in Indian License Plate Recognition Using HCD & HPR

Character segmentation and detection play a very important role in the license plate recognition (LPR) system. For accurate character segmentation first need is to remove skew from the received license plate for the night vision images. Skew is the angle by which the image seems to be deviated from its perceived steady state position. To solve the problem, a combined approach for skew correction of vehicle license plates (VLP) is proposed which is based on Harris corner detector and Hybrid Proximal Recognition (HPR). First, corner points are extracted as features using Harris corner detector. PCA is applied onto these features to find out the principal component in the direction of maximum Eigen value. This principal component reflects the skew angle of the plate and by using Hybrid method. Then skew and slant correction of the plate for Infrared images is accomplished. Main advantage of the Proposed method is, it is very simple in the Skew correction of VLP images and gives accurate results for the night vision images (IR).