Title :
Visual entity identification: a neural network approach
Author :
Riley, Chris ; Work, Paul ; Miller, Ralph
Author_Institution :
Comput. Sci. Corp., Moorestown, NJ, USA
Abstract :
Summary form only given. An increasingly large volume of image data requires automatic analysis to detect and classify entities. Neural networks are a tool that can be used to process these images. Standard back propagation is being used to train a neural network to identify multiple entities from images. A study is being conducted to demonstrate that the application of neural networks to entity identification is feasible
Keywords :
computerised pattern recognition; learning systems; neural nets; automatic analysis; back propagation; entity identification; image data; neural network approach; Back; Biomedical imaging; Cities and towns; DNA; Data analysis; Feature extraction; Gas detectors; Image analysis; Neural networks; Pattern recognition;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155501