A license plate character segmentation method based on gray histogram binarization

Abstract

The invention discloses a license plate character segmentation method based on grey level histogram binaryzation. The plate character segmentation method comprises the following steps of converting an original color license plate image into a gray level image, calculating the gray average of the interest region in the gray level image and a gray level histogram, namely, the number of the pixel points corresponding to all gray values, sequentially verifying whether the gray values can meet set binaryzation threshold conditions, using the corresponding gray values as the binaryzation thresholds to carry out binaryzation treatment on the license plate image if the binaryzation threshold conditions are met, and utilizing a projection method to segment a binaryzation image to obtain license plate characters. The license plate character segmentation method based on the grey level histogram binaryzation can little affected by factors of uneven illumination, license plate contamination and the like, can set the binaryzation threshold of the license plate gray level image in a self-adaption mode, separates the license plate characters from a background area, obtains a clear binary image and can conveniently utilize the projection method to regionally segment the binaryzation image.

Description

technical field [0001] The invention relates to the field of license plate recognition, in particular to a grayscale histogram-based Figure II Value-based license plate character segmentation method. Background technique [0002] In the field of traffic supervision, the application of intelligent identification is becoming more and more extensive. License plate recognition technology refers to the technology that can detect vehicles on the monitored road and automatically extract vehicle license plate information (including Chinese characters, English letters, Arabic numerals and license plate colors) for processing. [0003] License plate recognition is one of the important components of modern intelligent transportation systems. The unique license plate number of a car to complete the identification process. [0004] The combination of license plate recognition technology and some follow-up processing methods can realize parking lot fee management, traffic flow control ...

AI Technical Summary

Problems solved by technology

[0008] Character segmentation using the projection method is relatively dependent on the binary image, and the character segmentation effect of the license plate image taken under different lighting conditions is quite different. When the quality of the binary image is not high, the accuracy of the segmentation will drop a lot.

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