Pattern Recognition Using A Double Layer Associative Memory

David T.Y. Lam; John E. Carroll

doi:10.1117/12.962383

6 December 1989 Pattern Recognition Using A Double Layer Associative Memory

David T.Y. Lam, John E. Carroll

Proceedings Volume 1154, Real-Time Signal Processing XII; (1989) https://doi.org/10.1117/12.962383
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

David T.Y. Lam and John E. Carroll "Pattern Recognition Using A Double Layer Associative Memory", Proc. SPIE 1154, Real-Time Signal Processing XII, (6 December 1989); https://doi.org/10.1117/12.962383

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