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Artificial Neural Network for Character Recognition on Embedded-Based FPGA

  • Phaklen Ehkan
  • Lee Yee Ann
  • Fazrul Faiz Zakaria
  • M. Nazri M. Warip
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 309)

Abstract

An embedded system application involves a diverse set of skills that extend across traditional disciplinary boundaries, including computer hardware, software, algorithms, interfacing and application domain. Field Programmable Gate Arrays (FPGAs) which offer flexibility in design like software, but with performance speeds closer to Application Specific Integrated Circuits (ASICs) are used as an embedded-based system in this project. The character recognition project using artificial neural network (ANN) approach is implemented on Altera Cyclone II 2C35 FPGA device and the results shown very promising.

Keywords

FPGA Artificial neural network Character recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Phaklen Ehkan
    • 1
  • Lee Yee Ann
    • 1
  • Fazrul Faiz Zakaria
    • 1
  • M. Nazri M. Warip
    • 1
  1. 1.School of Computer and Communication EngineeringUniversiti Malaysia PerlisArauMalaysia

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