A method for recognizing road traffic signs

Abstract

The invention discloses a road traffic sign identification method which comprises the following steps: carrying out image signature generation treatment on the original traffic sign by using PCNN (Pulse Coupled Neural Network) technique, and comparing the degree of similarity of the image signature by searching an image signature database, wherein the image with high degree of similarity is identified as the road traffic sign. The invention can assist vehicle traveling and management in a better way, and solves the problems of great sample demands, long training time and the like by using PCNN when solving the problem of image recognition and classification in the traditional artificial neural network.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for quickly identifying road traffic signs based on an artificial neural network-pulse coupled neural network time signature. Background technique [0002] In 1990, Eckhorn et al. proposed a mammalian neuron model—the Eckhorn model—in their research on the phenomenon of synchronous pulse firing in the cat's visual cortex. The model consists of a pulse-generating component called a neuromime, a modulation-coupling component, and a synaptic connection component. In order to make up for the shortcomings of the Eckhorn model and make it more suitable for image processing, people have made various improvements to the Eckhorn model. Finally, Johnson et al. summarized it and proposed the concept of Pulse Coupled Neural Network (PCNN). . The two major features of pulse-coupled neural network different from Eckhorn model are modulation coupling and pulse generation mec...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an efficient and accurate recognition method of road traffic signs, so that it can better assist vehicle driving and management, and use pulse-coupled neural network to solve the problem of traditional artificial neural network in image recognition and classification The sample demand in the medium is large, and the training time is long, etc.

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