On Interactive Image Recognition for Human-Machine Interfacing
Tajmilur Rahman, Al-Amin Ahsan Raja Chowdhury, Md. Al-Amin Bhuiyan · 2007 International Conference on Convergence Information Technology (ICCIT 2007) · 2007
This paper introduces a new concept for the establishment of human-machine symbiotic relationship through interactive image recognition. The system is based on the implementation of knowledge-based image processing methodologies for intelligent recognition of image and intelligent responding for an autonomous robot or machine. This paper includes two novel contributions of image application; one is image metamorphosis another is image recognition for intelligent system. Using these two important image applications we have achieved the interactive image recognition for human-machine interfacing. The system is organized with the learning and recognition of images using neural network with back-propagation algorithm. Images have been processed and converted to feature vectors that are compared with the feature vectors of a training set of images. This image recognition system can play a big role over establishing more perfect human-machine interfacing. The proposed system has been tested extensively with a large data set and it performs accuracy of 93.33% on that database.