Identification method of characters of licence plate

Abstract

The invention provides an identification method of characters of a licence plate, mainly solving the problems of low identification speed and complex realization in the prior art. The identification process of the identification method comprises the following step of: individually taking out the pretreated characters of the licence plate, uniformizing, and scanning in vertical and horizontal directions; recording horizontal and vertical characteristic vectors, and respectively calculating similarity with characteristic vectors already well stored in a standard character library; finding a certain character of the standard character library, which has maximum similarity, through similarity magnitude comparison, wherein the character is a first-time identification result of characters to be identified; dividing partial similar characters in the first-time identification result into an up and down part and a left and right part, and respectively scanning the characteristic vectors of the similar characters; and then carrying out similarity calculation with a characteristic vector library of the characters, and finding a certain character of the standard character library, which has the maximum similarity, as a final identification result. The invention has high identification speed and identification accuracy rate and can be used for the real-time detection of the licence plate of a high-speed running vehicle.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a character recognition method, which can be used to recognize license plate characters. Background technique [0002] In recent years, my country has accelerated the pace of infrastructure construction. In contrast, the construction of facilities such as road management monitoring and scientific toll software is relatively lagging behind. , Intelligent traffic monitoring system, GPS vehicle management and navigation system, non-stop automatic toll collection system and other intelligent traffic system ITS research and development. Among them, the vehicle license plate recognition system is a key link in many fields. Therefore, the license plate recognition system must have a high recognition rate, and at the same time, it should be robust to environmental lighting conditions, shooting locations, and vehicle speeds. and meet real-time requirements. [0003] ...

AI Technical Summary

Problems solved by technology

In addition, the neural network recognition method must go through a lot of learning and constantly correct the weights so that each input can get the desired result, and there is a lot of complexity in the implementation

[0045] 2. Due to the complexity of the neural network character recognition process, which affects the processing speed of license plate character recognition, it takes a long time for the neural network to recognize characters. When the neural network recognition method is integrated into the license plate detection and recognition system, due to Its real-time performance is not good, which affects the efficiency of license plate character recognition, resulting in misrecognition and missed recognition of the entire license plate detection system.

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