Madani, A. and Yusof, R. (2017) Traffic Sign Recognition Based on Color, Shape, and Pictogram Classification Using Support Vector. Neural Computing & Applications, 30, 2807-2817. https://doi.org/10.1007/s00521-017-2887-x

has been cited by the following article:

• TITLE: Nature Scene Signs Recognition by Affine Scale-Invariant Feature Transform

  AUTHORS: Xin Li, Liuguang Song, Yuqi Sun

  KEYWORDS: ASIFT Algorithm, SIFT Algorithm, Traffic Signs Recognition

  JOURNAL NAME: Open Access Library Journal, Vol.8 No.12, December 24, 2021

  ABSTRACT: In this paper, it is presented an approach to automatic detection and recognition of signs from natural scenes, and its application to a sign recognition. The natural scene signs recognition is affected by the light changing, fading, being distorted on the surface of t signs. In this paper, a method is proposed that combined the improved scale invariant feature transform (SIFT) algorithm which reduces the high dimension and high complexity with Affine Scale Invariant Feature Transformation (ASIFT) algorithm under the natural scene sign detection and recognition. Experiments have proved that the method improved match number and matching time.