Imperfect tactile image classification using artificial neural network
Chengxiang Li, Chung-Sheng Cheng · 1991
A new approach to tactile pattern recognition is introduced. All the pre-processing and classification work is done with neural networks. The system successfully recognizes different kinds of polygons regardless of their positions and orientations. Favorable results are achieved even with imperfect images.>