A rotation-invariant embedded pattern recognition system

@article{Patel2002ARE,
  title={A rotation-invariant embedded pattern recognition system},
  author={Chandni R. Patel and T. Srilianthan and Sangeetha Narayan},
  journal={2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02.},
  year={2002},
  volume={1},
  pages={88-92 vol.1}
}
Hardware implementations of neural networks (NN) offer superior performance over software implementations due to the inherent parallelism that can be exploited at the architectural level. However, they are rendered unsuitable for incorporation into low-cost pattern recognition systems, as they are expensive to implement in VLSI. This paper proposes a rotation-invariant embedded pattern recognition system based on an area-efficient NN architecture. It employs a novel feedforward multi-layered… CONTINUE READING

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