DocumentCode
2821751
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
fYear
1991
fDate
11-14 Jun 1991
Firstpage
2526
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176041
Filename
176041
Link To Document