DocumentCode
2208051
Title
High speed object recognition system
Author
Tsang, P.W.M. ; Yuen, P.C. ; Lam, F.K.
Author_Institution
City Polytech. of Hong Kong, Hong Kong
fYear
1991
fDate
2-6 Sep 1991
Firstpage
117
Lastpage
122
Abstract
A high speed object recognition system is designed and developed for recognizing a set of handtools. The system is not only capable of handling the scaling and orientation problems, but also can recognize partially occluded objects. Corners and curves which are detected based on different order of discontinuities are selected as the primitive local features of an object. After feature detection, a back propagation network (BP net) is employed as a classifier. A set of general handtools is selected to evaluate the performance of the system and the results are encouraging. The recognition time is less than 6 seconds with an IBM AT computer
Keywords
computerised pattern recognition; IBM AT computer; back propagation network; corner detection; curve detection; discontinuities; feature detection; handtools; high speed object recognition system; orientation; partially occluded objects; primitive local features; recognition time; scaling; system performance;
fLanguage
English
Publisher
iet
Conference_Titel
Digital Processing of Signals in Communications, 1991., Sixth International Conference on
Conference_Location
Loughborough
Print_ISBN
0-85296-522-2
Type
conf
Filename
151913
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