MODIFICATION OF THE PRE-PROCESSING STAGE OF A TRAFFIC SIGN RECOGNITION SYSTEM TAKING INTO ACCOUNT THE CHARACTERISTICS OF THE SUBJECT AREA
S.Yu. Pchelintsev
Tambov State University named after G.R. Derzhavin, Tambov, Russian Federation
Keywords: компьютерное зрение, нейронные сети, распознавание образов, искусственный интеллект, распознавание дорожных знаков, computer vision, neural networks, image recognition, artificial intelligence, road sign recognition
Abstract
Traffic sign recognition systems require a high level of responsiveness and accuracy with limited use of computing resources. The process of image pre-processing precedes the process of directly recognizing images, therefore, the recognition results depend on its effectiveness. When conducting pre-processing, it is important to take into account the features of the subject area, within which recognition is performed. The article discusses the process of pre-processing and preparing images in the context of creating a system for recognizing road signs. The main problems that arise during the operation of such a system are identified. Their solutions are proposed. Own combination of these solutions allowed us to create a new system for recognizing road signs, which gives a gain in processing speed by cutting off images of no interest before entering the classifier, and also taking into account the peculiarities of operation in an urban environment - more difficult conditions compared with recognition of road signs on tracks or on artificially created training grounds.
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