Invariant 2D object recognition using the wavelet transform and structured neural networks
Mahmoud I. Khalil, Mohamed M. Bayoumi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
This paper applies the dyadic wavelet transform and the structured neural networks approach to recognize 2D objects under translation, rotation, and scale transformation. Experimental results are presented and compared with traditional methods. The experimental results showed that this refined technique successfully classified the objects and outperformed some traditional methods especially in the presence of noise.