"Rule-Based Processing For String Code Identification"

David Casasent; Sung-Il Chien

doi:10.1117/12.948462

16 December 1988 Rule-Based Processing For String Code Identification

David Casasent, Sung-Il Chien

Proceedings Volume 0974, Applications of Digital Image Processing XI; (1988) https://doi.org/10.1117/12.948462
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

A 3-D distortion-invariant multi-class object identification problem is addressed. Our new, fast and robust string-code generation technique (using optical and digital methods) makes the rule-based system quite practical and attractive. Emphasis is given to our rule-based system and to initial data results. Excellent multi-class recognition and reasonable object distortions can be accommodated in this system. We achieved 80-90% correct recognition (Pc) for 10 object classes and +30 ° 3-D distortions and full 360 ° in-plane distortions.

Citation Download Citation

David Casasent and Sung-Il Chien "Rule-Based Processing For String Code Identification", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948462

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