Distortion-Invariant Pattern Recognition with Local Correlations

摘要

Local adaptive correlations for distortion-invariant and robust pattern recognition are presented. An iterative training algorithm for design of adaptive filters is utilized. The recognition performance of the proposed filters in noisy environment is compared with that of linear composite filters in terms of noise robustness and discrimination capability. Computer simulation results are provided and discussed.