Share Email Print

Proceedings Paper

Optical Pattern Recognition Using Normalized Invariant Moments
Author(s): David Casasent,; Demetri Psaltis
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A novel approach to coherent optical pattern recognition is described. It does not utilize matched spatial filters and optical correlation methods. Rather, a 2-dimensional input function is described in terms of its absolute normalized invariant moments. Comparison of these moments enables one to determine the presence of a given object independent of geometrical distortions. A parallel optical processor with a special mask is used to generate all moments for a 2-D scene in parallel. A simple digital post processor calculates the actual absolute normalized invariant moments with the high dynamic range necessary. Our initial work reported upon here has concentrated on: the optical generation of individual moments, how the individual moments vary, the dynamic range requirements of the system and how they may best be met in a hybrid optical digital topology,and methods to generate all moments optically in parallel.

Paper Details

Date Published: 4 December 1979
PDF: 8 pages
Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); doi: 10.1117/12.965618
Show Author Affiliations
David Casasent,, Carnegie-Mellon University (United States)
Demetri Psaltis, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0201:
Optical Pattern Recognition
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?