The Correlation Recognition of Distorted Images Based on Synthetic Discriminant Function

Honghui Sun, Hongxia Wang, Min Li, Qinghua Zhang


In order to improve the recognition function of the joint transform correlation, this paper describes the conception and application method of distorted images correlation recognition, makes Synthetic Discriminant Functions (SDF) in the computer and analyses the recognition results of rotation and scale distorted images. The recognition experiment results of real images show that the correlation recognition method based on SDF realize the distortion invariant pattern recognition of distorted images, and it is effective and feasible.


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