NDLI: On Interactive Image Recognition for Human-Machine Interfacing

Content Provider	IEEE Xplore Digital Library
Author	Rahman, M.T. Bin Bakkre, M.A.J. Chowdhury, A.-A.A.R. Bhuiyan, M.A.-A.
Copyright Year	2007
Description	Author affiliation: Northern Univ. Bangladesh, Dhaka (Rahman, M.T.; Bin Bakkre, M.A.J.)
Abstract	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.
Starting Page	1807
Ending Page	1812
File Size	159251
Page Count	6
File Format	PDF
ISBN	0769530389
DOI	10.1109/ICCIT.2007.339
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Symbiosis Image recognition Image converters Image processing Neural networks Man machine systems Intelligent systems Intelligent robots Machine intelligence
Content Type	Text
Resource Type	Article

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