Logo recognition using retinal coding

This research is an effort to model the structure and functionality of the human retina for use as an automatic identification system for logo images in document processing. Scale, rotation, noise, and distortion invariant identification is achieved using a suitable classification algorithm and a reference database. The human pulvinar is also used as a model for visual attention and logo detection within a page image. Test results show high correct identification rates, and robustness in all types of distortion.

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