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Proceedings Paper

Cost-effective tactile sensing system for object recognition
Author(s): Satish Mishra; Damayanti C. Gharpure
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Paper Abstract

This paper presents the use of simple PC based tactile sensing system for object recognition. Software has been developed to acquire, process and analyze the tactile images. The recognition is based on the use of invariant moments and a back propagation neural network. The software also provides information regarding contact area, height, position and orientation of the object. The paper deals with details of the software developed. Various experiments carried out to test the performance of the system have also been described along with the results obtained.

Paper Details

Date Published: 4 April 2001
PDF: 6 pages
Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420910
Show Author Affiliations
Satish Mishra, Univ. of Pune (India)
Damayanti C. Gharpure, Univ. of Pune (India)


Published in SPIE Proceedings Vol. 4301:
Machine Vision Applications in Industrial Inspection IX
Martin A. Hunt, Editor(s)

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