Paper
13 April 1993 High-speed pattern recognition system
J. Peter Rosenfeld, R. Michael Hord
Author Affiliations +
Abstract
We have developed a binary pattern matching system for the recognition of segmented logos and icons corrupted by random and correlated noise. It is based on the POLCAR transform. The POLCAR transform is invariant to pattern translation and converts size and orientation changes into translations. It has a high pattern discrimination ability, requires no training, and should be capable of running in real-time. The initial tests of this system are very encouraging.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Peter Rosenfeld and R. Michael Hord "High-speed pattern recognition system", Proc. SPIE 1838, 21st AIPR Workshop on Interdisciplinary Computer Vision: An Exploration of Diverse Applications, (13 April 1993); https://doi.org/10.1117/12.142790
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KEYWORDS
Chlorine

Image segmentation

Binary data

Computer vision technology

Machine vision

Pattern recognition

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