Shift-, rotation-, and limited-scale-invariant pattern recognition using synthetic discriminant functions

OuYang Yueh; Pen-Wen Chen; Hon-Fai Yau

doi:10.1117/12.206736

21 April 1995 Shift-, rotation-, and limited-scale-invariant pattern recognition using synthetic discriminant functions

OuYang Yueh, Pen-Wen Chen, Hon-Fai Yau

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206736
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

We propose here a simple way to synthesize a shift, rotation and limited size correlation filter, making use of the idea of synthetic discriminant functions (SDF). The SDF is synthesized by superimposing four 2nd order circular harmonics of a training reference pattern in 4 different sizes. Computer simulation experiments have shown that the filter is indeed shift, fully rotation and limited size invariant over a size range from 1 to 1.75. The invariant range can be increased if more training patterns are used.

Citation Download Citation

OuYang Yueh, Pen-Wen Chen, and Hon-Fai Yau "Shift-, rotation-, and limited-scale-invariant pattern recognition using synthetic discriminant functions", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206736

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