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

Authors

  • Francisco Assis da Silva Unoeste
  • Gustavo Henrique de Oliveira
  • Danillo Roberto Pereira
  • Leandro Luiz de Almeida
  • Almir Olivette Artero
  • Alex Fernando Bonora
  • Victor Hugo C. de Albuquerque

Keywords:

Traffic signs detection, Traffic signs recognition, Characters segmentation, OCR

Abstract

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 1 second.

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Published

2019-08-16

How to Cite

Silva, F. A. da, Oliveira, G. H. de, Pereira, D. R., Almeida, L. L. de, Artero, A. O., Bonora, A. F., & Albuquerque, V. H. C. de. (2019). Automatic Detection and Recognition of Text-Based Traffic Signs from images. IEEE Latin America Transactions, 16(12), 2947–2953. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/111

Issue

Vol. 16 No. 12 (2018): Ordinary Issue

Section

Articles

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