Resumo

RUGE RUGE, Ilber Adonayt  e  ALVARADO, José David. FPGA-based neural network evaluation system for image recognition. Tecnura [online]. 2013, vol.17, n.36, pp.87-95. ISSN 0123-921X.

This paper presents the use of Field Programmable Oate Arrays (FPOA) to evaluate an Artifcial Neural Network (ANN) system, and also to apply image pattern recognition to alphabetic characters in contexts where different neural network models are utilized. This is performed in order to evaluate the performance of the neural networks implemented in the FPOA and also to analyze the Spartan-3 FPGA XCS200 performance. This study has four phases: neural network model selection; development of a training platform using Labview RNA; design, implementation and verification of RNA models; and parameter setup to evaluate RNA Spartan-3 FPOA XCS200 performance.

Palavras-chave : FPOA; artifcial intelligence; digital image processing; character recognition systems.

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