An approach to industrial computer vision using syntactic/semantic learning techniques

Syntactic and semantic approaches to object pattern recognition are discussed. A well-known grammatical inference technique for syntactic pattern recognition is augmented with semantic considerations. Experimental results which demonstrate the power of the combined approach to recognition are presented. Limitations encountered with this approach along with suggestions for further research are discussed.