Using negative shape features for logo similarity matching

Author

Soffer, Aya ; Samet, Hanan

Author_Institution

Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA

Volume

1

fYear

1998

fDate

16-20 Aug 1998

Firstpage

571

Abstract

A method for representing and matching logos based on positive and negative shape features is presented. Negative shape features represent an object that consists of several components enclosed in a simple geometric structure (e.g., a square) based on its interior with the components considered as holes. The goal is to find logos in a database that are most similar to a given sample logo. A border is added around logos that are not enclosed in a simple shape. Logos are segmented. Local and global shape features are computed for each component. Two methods for comparing logos represented by positive and negative components are presented and evaluated

Keywords

feature extraction; image matching; image recognition; image segmentation; logo matching; logo representation; logo similarity matching; negative shape features; simple geometric structure; Automation; Computer science; Educational institutions; Electrical capacitance tomography; Image databases; Image retrieval; Image storage; Postal services; Shape; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.711207

Filename

711207