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Nature Scene Signs Recognition by Affine Scale-Invariant Feature Transform

DOI: 10.4236/oalib.1108225, PP. 1-7

Subject Areas: Information Science

Keywords: ASIFT Algorithm, SIFT Algorithm, Traffic Signs Recognition

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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.

Cite this paper

Li, X. , Song, L. and Sun, Y. (2021). Nature Scene Signs Recognition by Affine Scale-Invariant Feature Transform. Open Access Library Journal, 8, e8225. doi: http://dx.doi.org/10.4236/oalib.1108225.

References

[1]  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
[2]  Alexeev, B.G. (2021) Nonlocal Physics in the Wave Function Terminology. Journal of Applied Mathematics and Physics, 9, 2889-2908. https://doi.org/10.4236/jamp.2021.911183
[3]  Lowe, D.G. (2005) Distinctive Image Features from Scale-Invariant Keypoint. International Journal of Computer Vision, 60, 91-110. https://doi.org/10.1023/B:VISI.0000029664.99615.94
[4]  Zhang, C., Gong, Z. and Sun, L. (2008) Application of Improved SIFT Features in Image Matching. Computer Engineering and Applications, 44, 95-97.
[5]  Morel, J.-M. and Yu , G. (2009) A New Framework for Fully Affine Invariant Image Comparison. SIAM Journal on Imaging Sciences, 2, 438-469. https://doi.org/10.1137/080732730
[6]  Lowe, D.G. (1999) Object Recognition from Local Scale Invariant Features. International Conference on Computer Vision, Corfu, September 1999, 1150-1157. https://doi.org/10.1109/ICCV.1999.790410
[7]  Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T. and Van Gool, L. (2005) A Comparison of Affine Region Detectors. International Journal of Computer Vision, 65, 43-72. https://doi.org/10.1007/s11263-005-3848-x
[8]  Takaki, M. and Fujiyoshi, H. (2009) Traffic Sign Recognition Using SIFT Features. IEEJ Transactions on Electronics Information and Systems, 129, 824-831. https://doi.org/10.1541/ieejeiss.129.824
[9]  Li, X., Uchimura, K. and Hu, Z. (2009) Traffic Sign Recognition Using Affine Scale-Invariant Feature Transform. IEICE Technical Report, ITS 2009-12.

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