Image analysis – Learning systems – Neural networks
Patent
1996-06-06
1999-03-23
Tran, Phuoc
Image analysis
Learning systems
Neural networks
382293, G06K 962
Patent
active
058870784
ABSTRACT:
The present invention provides an apparatus and a method for classifying and recognizing image patterns using a second-order neural network, thereby achieving high-rate parallel processing while lowering the complexity. The second-order neural network, which is made of adders and multipliers, corrects positional translations generated in a complex-log mapping unit to output the same result for the same object irrespective of the scale and/or rotation of the object. The present invention enables high-rate image pattern classification and recognition based on parallel processing, which is the advantage obtained in neural network models, because consistent neural networks and consistent network structure computation models are applied to all steps from the image input step to the pattern classifying and recognizing step.
REFERENCES:
patent: 5063604 (1991-11-01), Weiman
patent: 5287272 (1994-02-01), Rutenberg et al.
patent: 5351311 (1994-09-01), Rogers et al.
patent: 5388164 (1995-02-01), Yonekawa et al.
Cho Dong Sub
Hwang Hee Yeung
Kim Byeong Cheol
Kim Dae Hwan
Kwon Hee Yong
Frank Robert J.
Korea Telecommunication Authority
Sartori Michael A.
Tran Phuoc
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