High speed object recognition system

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)117-122
Journal / PublicationIEE Conference Publication
Publication statusPublished - 1991

Conference

Title6th International Conference on Digital Processing of Signals in Communications
PlaceUnited Kingdom
CityLoughborough
Period2 - 6 September 1991

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, Back Propagation network (BP net) is employed as a classifer. 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.

Citation Format(s)

High speed object recognition system. / Tsang, P. W M; Yuen, P. C.; Lam, F. K.
In: IEE Conference Publication, 1991, p. 117-122.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal