Title :
Imperfect tactile image classification using artificial neural network
Author :
Li, C.K. ; Cheng, C.W.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Hunghom, Hong Kong
Abstract :
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
Keywords :
neural nets; pattern recognition; tactile sensors; artificial neural network; classification; image classification; multilayer neural net; polygons; pre-processing; simulation; tactile pattern recognition; Artificial neural networks; Calibration; Force sensors; Image classification; Image recognition; Neural networks; Neurons; Sensor arrays; Slabs; Tactile sensors;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176041
