Framing method for license plate in RGB format

Abstract

The invention relates to the technical field of vehicle license plate recognition, and discloses a framing method for a license plate in an RGB format. The framing method includes the following steps of converting a license plate image from RGB space to HSV space, separating an HSV component of the image from the image, conducting homomorphic filtering on an luminance component V, converting the image HSV component from the HSV space to an RGB component in the RGB space, determining a luminance threshold value of the RGB component, scanning the license plate image in a line direction and a row direction, recording pixel points of colors dropping into a luminance threshold value range, determining lines and rows where a license plate range is located according to pixel points in each line and pixel points in each row, and displaying pixel points of the lines and rows where the license plate range is located. According to the framing method for the license plate in the RGB format, preprocessing is conducted on a vehicle image with a poor light condition, excessively bright or excessively dark or shaded influence caused by uneven illumination, polarized light, side light, highlight and the like on the vehicle image can be eliminated, and the accuracy rate of license plate location is improved.

Description

technical field [0001] The invention relates to the technical field of vehicle license plate recognition, in particular to a method for locating a vehicle license plate image in an RGB format. Background technique [0002] With the rapid development of social economy and the sharp increase of the number of cars, new challenges are brought to traffic control, safety management and toll management. The license plate is the unique "identity" of the vehicle. Therefore, the research on license plate recognition has become a hot issue in intelligent transportation systems. At present, the following types of algorithms are mainly used for license plate location at home and abroad: methods based on edge detection, methods based on color features, methods based on mathematical morphology, methods based on neural networks, methods based on genetic algorithms, etc. Due to the complexity of the background where the vehicle is located and the different lighting conditions, the unstable ...

AI Technical Summary

Problems solved by technology

Due to the complexity of the background of the vehicle and the influence of different lighting conditions, the instability of the license plate location increases, thereby affecting the performance of the license plate recognition system, and these existing technologies are complex in calculation and generally ineffective.

Images