Image refinement using skew angle detection and correction for Indian license plates

Automatic License Plate Recognition system (ALPR) is essential to implement law enforcement and traffic control on transportation systems. ALPR systems consist of the tasks: license plate localization, character segmentation, and character recognition; due to the positioning of the vehicles, the localized license plate images are mostly skewed which need to be de-skewed before proceeding to character segmentation. In this paper, a novel Skew Correction Algorithm is proposed focusing on boundary line that optimizes speed and accuracy by using the Hough transforms to get the skew corrected License plate image.