An Approach towards Service System Building for Road Traffic Signs Detection and Recognition | Zendy

Natalia Kryvinska | Zendy; Aneta Poniszewska-Marańda | Zendy; Michal Greguš | Zendy

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An Approach towards Service System Building for Road Traffic Signs Detection and Recognition

Author(s) -

Natalia Kryvinska,

Aneta Poniszewska-Marańda,

Michal Greguš

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.150

Subject(s) - computer science , traffic sign , identification (biology) , sign (mathematics) , traffic sign recognition , service (business) , artificial intelligence , road traffic , computer vision , pattern recognition (psychology) , data mining , transport engineering , mathematical analysis , botany , mathematics , economy , engineering , economics , biology

The paper describes an approach towards road sign detection and recognition system. The model consists of two parts: localization and recognition. First one is responsible for the identification of region of interest by creating rectangular boxes marking off areas where signs are located. Recognition part takes these rectangular areas and uses data from those regions to tell which road traffic sign is located there. Correct classification is dependent on both parts working and communicating quickly, accurately and efficiently. It also shows the techniques used for the recognition and classification of the road signs in scientific environments and it describes the technology and the database of images that are widely used.

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