DocumentCode
2651213
Title
Logo recognition using retinal coding
Author
Zyga, Kathleen J. ; Schroeder, Jim ; Price, Richard
Volume
2
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
1549
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399415
Filename
1399415
Link To Document