License plate character recognition method based on multi-feature fusion
A multi-feature fusion and character recognition technology, which is applied in the field of license plate character recognition, can solve problems such as poor real-time performance, insufficient theoretical basis, and complex calculations, and achieve the effects of reducing empirical components, sufficient feature extraction theory, and improving results
Active Publication Date: 2018-02-09
TONGJI UNIV
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Problems solved by technology
The template matching method has the disadvantages of complex calculation and relatively poor real-time performance.
In the pattern recognition method, the feature extraction includes half-projection, coarse grid and other pixel ratio features, including invariant moments, texture features such as gray level co-occurrence matrix, including edge information features such as HOG, SIFT, EOH, etc. The selection process of these features They are all artificially designed, with a lot of empirical elements, and the theoretical basis is not very sufficient
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[0037] Below in conjunction with accompanying drawing, technical solution of the present invention will be further described:
[0038] Principle: The present invention extracts a method based on multi-feature fusion to effectively recognize license plate characters in real-time video. The high-order feature descriptors of the underlying pixels of the license plate character image mined through the deep belief network are added to the traditional artificially designed features, and the license plate character classifier is constructed by using the support vector machine to train the fusion features.
[0039] The license plate character recognition method based on multi-feature fusion in the present invention: the extracted license plate character feature is based on the traditional features by adding high-order features excavated from the bottom layer pixels of the license plate character picture, and the globality of traditional features is preserved through feature fusion , a...
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The invention relates to a license plate character recognition method based on multi-feature fusion. The steps are: (1) detect the vehicle in the video and locate and segment the license plate in the vehicle; (2) perform projection analysis on the segmented license plate, segment and extract 7 valid characters in the license plate; (3) ) Carry out morphological processing on the segmented character picture, and extract three kinds of features of license plate characters for effective fusion; (3) Use support vector machine to train the fusion features to generate license plate character classifier, and analyze the vehicle license plate in real-time video Characters are recognized effectively. Compared with the prior art, the present invention can reduce the empirical components of the extracted license plate character features, make the feature extraction theory more sufficient, and thus can improve the license plate recognition effect.
Description
technical field [0001] The invention relates to a license plate character recognition method, in particular to a license plate character recognition method based on multi-feature fusion. Background technique [0002] Nowadays, cars have become an indispensable means of transportation in people's work and life. Due to the increase in the number of cars, the current traffic situation in the city is not optimistic. From this point of view, the application of Intelligent Transportation System (ITS: IntelligentTransportation System) is imminent. The license plate is the unique information of a car, therefore, the recognition technology of the vehicle license plate can be used as the most effective method to identify a car. Fundamentally, license plate recognition applies advanced image processing, pattern recognition, and artificial intelligence techniques to acquire, process, interpret, and record photographed images. At present, license plate recognition technology has been ...
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IPC IPC(8): G06K9/66G06K9/46G06T7/13
CPCG06V20/62G06V30/153G06V10/50G06V20/625
Inventor 蒋昌俊陈闳中闫春钢张亚英刘春梅钱华
Owner TONGJI UNIV