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Proceedings Paper

Pattern Recognition Using A Double Layer Associative Memory
Author(s): David T.Y. Lam; John E. Carroll
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Paper Abstract

We describe and present results of a high-order double layer associative memory (HODLAM). The memory can utilise up to neat-4, 100% of the network storage capacity, has high tolerance to patterns with high cross-correlations and has high potential for translation-invariant pattern recognition. We demonstrate the capability of the memory by using it to recognise a set of 64 characters, each being drawn on an 8X8 pirelated array. We also propose a possible optical implementation scheme for the memory and examine modifications that lead to translation invariance.

Paper Details

Date Published: 6 December 1989
PDF: 13 pages
Proc. SPIE 1154, Real-Time Signal Processing XII, (6 December 1989); doi: 10.1117/12.962383
Show Author Affiliations
David T.Y. Lam, Cambridge University (United Kingdom)
John E. Carroll, Cambridge University (United Kingdom)

Published in SPIE Proceedings Vol. 1154:
Real-Time Signal Processing XII
J. P. Letellier, Editor(s)

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