A new concept learning system for image recognition with generalisation control

A new concept learning system (CLS) for regular image recognition has been designed and developed. 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. During end user interaction, the system recognises unknown objects with varying degree of generalisation as per requirement by the end user