High-speed character recognition system based on a complex hierarchical AER architecture

In this paper we briefly summarize the fundamental properties of spikes processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it does not rely on sensing and processing sequences of frames, and because it allows for...

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Bibliographic Details
Main Authors: Perez-Carrasco, J. A., Serrano-Gotarredona, T., Serrano-Gotarredona, C., Acha, B., Linares-Barranco, B.
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Convolution
Decoding
Feature extraction
Hardware
Kernel
Machine vision
Neurons
Protocols
Retina
Online Access:Request full text
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Summary:In this paper we briefly summarize the fundamental properties of spikes processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it does not rely on sensing and processing sequences of frames, and because it allows for complex hierarchically structured cortical-like layers for sophisticated processing. The paper describes briefly cortex-like spiking vision processing principles, and the AER (Address Event Representation) technique used in hardware spiking systems. Afterwards an example application is described, which is a simplification of Fukushima's Neocognitron. Realistic behavioral simulations based on existing AER hardware characteristics, reveal that the simplified neocognitron, although it processes 52 large kernel convolutions, is capable of performing recognition in less than 10μs.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2008.4541876