Trademark retrieval by relaxation matching on fluency function approximated image contours

Author

Kwan, Paul W H ; Kameyama, Keisuke ; Toraichi, Kazuo

Author_Institution

Inst. of Inf. Sci. & Electron., Univ. of Tsukuba, Japan

Volume

1

fYear

2001

fDate

2001

Firstpage

255

Abstract

We propose an automatic retrieval method that addresses the problem of finding similar trademark images from a database when compared with an input. Our method is based on evaluating the compatibility of relative relations among extracted image contour segments between the input and the registered images using relaxation matching. The overall compatibility, after finding a best matching configuration between contour segments of the input and each registered image, provides the basis for a distance metric used in similarity ranking. Experiments were carried out on 300 randomly selected trademark images obtained from the Japan Patent Office´s Website for performance evaluation. The applicability of our method, however, is not limited to trademark retrieval but can be extended to other applications having the need for image similarity matching

Keywords

approximation theory; content-based retrieval; feature extraction; image matching; image retrieval; image segmentation; visual databases; content-based image retrieval; distance metric; extracted image segments; fluency function approximation; image contours; image similarity matching; relative relations; relaxation matching; similarity ranking; trademark retrieval; Data mining; Government; Humans; Image retrieval; Image segmentation; Information retrieval; Information science; Polynomials; Trademarks; Web page design;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-7080-5

Type

conf

DOI

10.1109/PACRIM.2001.953571

Filename

953571