Method for pattern recognition using prototype transformations a

Details Method for pattern recognition using prototype transformations a Method for pattern recognition using prototype transformations a

1994-11-23

1996-11-05

Mancuso, Joseph

Image analysis

Pattern recognition

Classification

382276, G06K 962

Patent

active

055726046

ABSTRACT:
Articles being graphical input patterns are sorted by a pattern-recognition machine that includes a data base of prototype patterns, each labeled with its respective class. The sorting method includes stops of storing input patterns in the pattern-recognition machine and classifying the stored input patterns. The classification is performed by calculating at least two distance functions between input patterns and prototype patterns. The distance functions belong to a hierarchy of distance functions that vary in the degree to which they are computationally intensive, and concomitantly, in their accuracy. Overall computational requirements are reduced by using less computationally intensive distance functions to preliminary filter out those prototype patterns that are farthest from the input pattern.

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Perantonis et al. "Translation, Rotation, and Scale Invariant Pattern Recognition by High-Order Neural Networks and Moment Classifiers" IEEE Trans. on Neural Networks, vol. 3, ISS:2, pp. 241-251, Mar. 1992.

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