Adaptive hierarchical architecture for visual recognition.

  title={Adaptive hierarchical architecture for visual recognition.},
  author={Fok Hing Chi Tivive and Abdesselam Bouzerdoum and Son Lam Phung and Khan M. Iftekharuddin},
  journal={Applied optics},
  volume={49 10},
We propose a new hierarchical architecture for visual pattern classification. The new architecture consists of a set of fixed, directional filters and a set of adaptive filters arranged in a cascade structure. The fixed filters are used to extract primitive features such as orientations and edges that are present in a wide range of objects, whereas the adaptive filters can be trained to find complex features that are specific to a given object. Both types of filter are based on the biological… CONTINUE READING

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