Handwritten digits recognition approach research based on distance & Kernel PCA

@article{Yu2012HandwrittenDR,
  title={Handwritten digits recognition approach research based on distance & Kernel PCA},
  author={Naigong Yu and Panna Jiao},
  journal={2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)},
  year={2012},
  pages={689-693}
}
Feature extraction, as one of the two important components in handwritten digit recognition systems, is still a key research area. Principal Component Analysis (PCA) is an efficient linear feature extraction algorithm and is widely used in handwritten digit recognition system. However, it can hardly deal with the pattern with complex nonlinear variations… CONTINUE READING