Double-layer license plate character segmentation method based on projection and recognition

Abstract

The invention discloses a double-layer license plate character segmentation method based on projection and recognition. The method comprises the following steps: S1, projection in a horizontal direction is carried out on the double-layer license plate, and the double-layer license plate is segmented into an upper part and a lower part; S2, a vertical projection method is used for carrying out character segmentation on the license plate of the lower layer; S3, after segmentation of characters of the lower layer is carried out, if the number of the characters is 5, a step 4 is directly carried out, if the number of the characters is larger than 5, a recognition module is used for acquiring reliability of character recognition, and through the highest reliability, the position information and the length and width information of the best five characters on the license plate of the lower layer are acquired; S4, according to the character segmentation information for the license plate of the lower layer, the width of the best character is obtained; and S5, according to the width of the best character, initial positions of the first character and the second character on the license plate of the upper layer are calculated, and segmentation is carried out.

Description

technical field [0001] The invention discloses a license plate recognition method, in particular a double-layer license plate character segmentation method based on projection and recognition. Background technique [0002] The biggest feature of license plate recognition is that it is character recognition under natural conditions, but its difficulty lies in the fact that there are many links that make up the system, and any mistake in any link will affect the overall recognition effect of the system. License plate recognition mainly includes three steps: license plate location, character segmentation, and character recognition. The accuracy of character segmentation directly determines the accuracy of character recognition. my country's license plates can be divided into single-layer license plates and double-layer license plates from the structure. Single-layer license plates are generally the front and rear license plates of small motor vehicles, and double-layer license ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned problems in the license plate segmentation in the prior art, the present invention provides a new double-layer license plate character segmentation method based on projection and recognition, which is based on the character segmentation of the double-layer license plate, combining projection and recognition Combining, first use the horizontal projection to divide it into upper and lower parts, then segment the lower license plate according to the vertical projection and recognize it, and find the position information of the best license plate characters through recognition, so as to obtain the starting position of the upper two characters, and After it is separated, the present invention can well solve the problems that the upper boundary is sticky and difficult to separate, and the lower characters are difficult to recognize due to the influence of the left and right boundaries in practical applications, laying the foundation for accurate recognition

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