Modification of the Pre-Processing Stage of a Traffi Sign Recognition System Taking into Account the Characteristics of the Subject Area
https://doi.org/10.34020/2073-6495-2020-2-235-249
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.
About the Author
S. Yu. Pchelintsev
Tambov State University named after G.R. Derzhavin
Russian Federation
Russian Federation
Pchelintsev Sergey Yu., Postgraduate Student, Department of Mathematical Modeling and Information Technology
Tambov
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Review
For citations:
Pchelintsev S.Yu. Modification of the Pre-Processing Stage of a Traffi Sign Recognition System Taking into Account the Characteristics of the Subject Area. Vestnik NSUEM. 2020;(2):235-249. (In Russ.) https://doi.org/10.34020/2073-6495-2020-2-235-249
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