A Component-Based Method for License Plate Character Segmentation

Abstract

The invention discloses a license plate character segmentation method based on parts. The method includes extracting seven characters in a license plate area as the parts, dividing the characters into two categories of Chinese characters and letter / number characters according to the appearance characteristics of the parts for assembly of a license plate part model, utilizing a vertical edge detection and morphological processing method to determine a target candidate area, respectively detecting the Chinese characters and the letter / number characters in a license plate, filling the characters according to the character interval, analyzing the space position relation between the characters, verifying the license plate type, utilizing the detected character position and size to modify the target candidate area to acquire the license plate modified area, utilizing the license plate position and the license plate type to modify the character position in the reverse direction to accurately segment the license plate characters. The method has the advantages of being easy to achieve, good in robustness, capable of adapting to different illumination conditions, capable of segmenting the license plate under good illumination condition, capable of processing the noisy license plate and capable of being applied to license plate character segmentation under poor illumination condition or under the noisy condition.

Description

technical field [0001] The invention relates to the field of license plate character segmentation methods, in particular to a component-based license plate character segmentation method. Background technique [0002] As the identity information of the vehicle, the license plate number is an important document for punishing, registering and charging the vehicle in traffic management. Therefore, accurate acquisition of license plate information has become the key to intelligent traffic management. Among them, license plate character segmentation is one of the three key technologies in the license plate recognition system, and the quality of the segmentation effect directly affects the effect of the next license plate recognition. Due to poor lighting conditions and noise interference, the traditional license plate character segmentation method based on connected region detection and vertical projection has many disadvantages in the case of character adhesion and poor lighting...

AI Technical Summary

Problems solved by technology

However, its initial segmentation is still based on the connected region detection of the binarized image. In the actual operation process, due to the difficulty in selecting the binarization threshold, the influence of the character adhesion caused by the license plate frame and rivets on the segmentation still exists.

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