Automatic Detection and Recognition of Text-Based Traffic Signs from Images

被引：3

作者：

Oliveira, G. ^{[1
]}

Silva, F. ^{[1
]}

Pereira, D. ^{[1
]}

Almeida, L. ^{[1
]}

Artero, A. ^{[2
]}

Bonora, A. ^{[1
]}

de Albuquerque, V. ^{[3
]}

机构：

[1] Univ Oeste Paulista, Unoeste, Presidente Prudente, SP, Brazil

[2] Univ Estadual Paulista, Unesp, Presidente Prudente, SP, Brazil

[3] Univ Fortaleza, Unifor, Programa Grad Informat, Fortaleza, Ceara, Brazil

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2018年 / 16卷 / 12期

关键词：

Traffic signs detection; Traffic signs recognition; Characters segmentation; OCR;

D O I：

10.1109/TLA.2018.8804261

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Detection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented a method for detection, segmentation and recognition of text-based traffic signs from images analyzing and processing techniques. The results show that the computational cost and accuracy rate considering the proposed approach are acceptable to real time applications, with an execution time under 0.5 seconds, with a hit rate of 94.38% in the plate detection, 83.42% in the character segmentation and 89.23 in the digit classification.

引用

页码：2947 / 2953

页数：7

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