Genetic algorithm for affine invariant object shape recognition

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

9 Scopus Citations
View graph of relations


Related Research Unit(s)


Original languageEnglish
Pages (from-to)293-298
Journal / PublicationIEE Conference Publication
Issue number414
Publication statusPublished - 1995


Title1st International Conference on 'Genetic Algorithms in Engineering Systems: Innovations and Applications', GALESIA 1995
LocationUniversity of Sheffield
PlaceUnited Kingdom
Period12 - 14 September 1995


In this paper, a novel technique for matching images of object shapes which have been subject to affine transformation caused by variations in the camera position is reported. The method is based on the Genetic Algorithm, and is more efficient and reliable than conventional approaches that rely on dominant points to determine the best alignment between object boundaries. Experimental results are reported which demonstrate the feasibility of the approach and its potential in practical applications.