Hierarchical System for Recognition of Traffic Signs Based on Segmentation of Their Images

被引：0

作者：

Belim, Sergey Victorovich ^{[1
,2
]}

Belim, Svetlana Yuryevna ^{[1
]}

Khiryanov, Evgeniy Victorovich ^{[2
]}

机构：

[1] Omsk State Tech Univ, Radio Engn Dept, Omsk 644050, Russia

[2] Siberian State Automobile & Highway Univ, Dept Digital Technol, Omsk 644080, Russia

来源：

INFORMATION | 2023年 / 14卷 / 06期

关键词：

image recognition; traffic signs; classification methods; image segmentation; DEEP NEURAL-NETWORK; COMMUNITY DETECTION;

D O I：

10.3390/info14060335

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article proposes an algorithm for recognizing road signs based on a determination of their color and shape. It first searches for the edge segment of the road sign. The boundary curve of the road sign is defined by the boundary of the edge segment. Approximating the boundaries of a road sign reveals its shape. The hierarchical road sign recognition system forms classes in the form of a sign. Six classes are at the first level. Two classes contain only one road sign. Signs are classified by the color of the edge segment at the second level of the hierarchy. The image inside the edge segment is cut at the third level of the hierarchy. The sign is then identified based on a comparison of the pattern. A computer experiment was carried out on two collections of road signs. The proposed algorithm has a high operating speed and a low percentage of errors.

引用

页数：16

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