Invariant Gaussian–Hermite Moments Based Neural Networks for 3D Object Classification
Amal Zouhri, Hicham Amakdouf, Mostafa El Mallahi, Ahmed Tahiri, Zakia Lakhliai, Driss Chenouni, Hassan Qjidaa · Pattern Recognition and Image Analysis · 2020
Abstract In this article, we suggest a new approach for classification and Recognition of 3D image Gaussian–Hermite moments using a Multilayer Perceptron architecture. The Multilayer Perceptron is an artificial neural network to evaluate the efficient structure in the non-linear systems. However, the determination of its architecture and weights is a fundamental issue due to their direct impact on the network convergence and performance. The robustness of the proposed approach have provided under many transforms. The experimental results show that our approaches are more robust than 3D Geometric moments.