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A new concept learning system for image recognition with generalization control

Sarker G.

Foundations of Computing and Decision Sciences

1999

Vol. 24, No. 3

153-167

A new Concept Learning System (CLS) for regular image recognition has been designed and developed in the present paper. The images are preprocessed and each compressed image constitute an internal version of the image instance. The instances of different image classes provided to the system, one class at a time, allows the system to extract the essential features which constitute the concept for each class. These features along with the class names provided by the supervisor during learning is housed in the knowledge base of the system. The system has the unique feature to recognize unknown objects with varying degree of generalization as per requirement by the end user .