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Sistema de reconocimiento de caracteres de alta velocidad basado en eventos

Authors: Pérez Carrasco, José Antonio; Acha Piñero, Begoña; Serrano Gotarredona, María del Carmen; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé;

Sistema de reconocimiento de caracteres de alta velocidad basado en eventos

Abstract

Spike-based processing technology is capable of very high speed throughput, as it does not rely on sensing and processing sequences of frames. Besides, it allows building complex and hierarchically structured cortical-like layers for sophisticated processing. In this paper we summarize the fundamental properties of this sensing and processing technology applied to artificial vision systems and the AER (Address Event Representation) protocol used in hardware spiking systems. Finally a four-layer system is described for character recognition. The system is slightly based on the Fukushima's Neocognitron. Realistic simulations using figures of already existing AER devices are provided, which show recognition delays under 10μs.

Este trabajo ha sido financiado en parte por el proyecto TEC2009-10639-C04-01 (VULCANO) y el proyecto andaluz P06-TIC-01417 (Brain System). JAPC ha sido financiado por el proyecto andaluz P06-TIC-01417 (Brain System).

Comunicación presentada al "XXVI Simposio de la URSI" celebrado en Leganés (España) del 7 al 9 de Septiembre del 2011.

Peer Reviewed

Country
Spain
Keywords

Sistema de reconocimiento de caracteres

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green