Open AccessModification of the Pre-Processing Stage of a Traffi Sign Recognition System Taking into Account the Characteristics of the Subject Area
Author(s) -
S. Yu. Pchelintsev
Publication year - 2020
Publication title -
vestnik nguèu
Language(s) - English
Resource type - Journals
ISSN - 2073-6495
DOI - 10.34020/2073-6495-2020-2-235-249
Subject(s) - traffic sign recognition , computer science , process (computing) , classifier (uml) , sign (mathematics) , image processing , artificial intelligence , context (archaeology) , subject (documents) , computer vision , traffic sign , machine learning , pattern recognition (psychology) , image (mathematics) , geography , world wide web , mathematical analysis , mathematics , archaeology , operating system
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.