Title :
Logo recognition using retinal coding
Author :
Zyga, Kathleen J. ; Schroeder, Jim ; Price, Richard
Abstract :
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.
Keywords :
document image processing; eye; image classification; image coding; automatic identification system; classification algorithm; distortion invariant identification; document processing; human pulvinar; human retina; logo detection; logo recognition; page image; reference database; retinal coding; Australia; Equations; Humans; Image databases; Intelligent sensors; Optical filters; Photoreceptors; Retina; Testing; Transfer functions;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399415
