Neuro-expert architecture for object recognition

John Selinsky, Allon Guez, James Eilbert, Moshe Kam

Research output: Contribution to conferencePaperpeer-review


Summary form only given, as follows. A report is presented on results of experiments in object recognition with a combined neural network/expert system architecture (neuro-expert). The neuro-expert architecture is outlined with a description of the experimental object recognition system. Results are reported for the recognition of a 20-pattern prototype set of synthesized binary images placed at arbitrary rotations. A 100% recognition rate was obtained under noiseless conditions. Addition of 1% and 2% random pixel noise resulted in recognition rates of 95.2% and 89.5%, respectively.

Original languageEnglish (US)
Number of pages1
StatePublished - 1989
Externally publishedYes
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: Jun 18 1989Jun 22 1989


OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


Dive into the research topics of 'Neuro-expert architecture for object recognition'. Together they form a unique fingerprint.

Cite this