Graphic symbol recognition using a signature technique

Author

Della Ventura, A. ; Schettini, R.

Author_Institution

Inst. of Multimedia Inf. Technol., Nat. Res. Council, Milan, Italy

Volume

2

fYear

1994

fDate

9-13 Oct 1994

Firstpage

533

Abstract

The authors present a noise-robust and general-purpose method for the recognition of graphic symbols in line-drawing images. The method assumes that a noise-free symbol database is available, and that both the model symbols and the processed image have been broken down into elementary structures. Recognition is based on the hypothesis-and-test paradigm. The detection of an elementary structure allows us to use a signature filter, to hypothesize and then recursively reduce a set of matching symbols. Hypothesized symbols are then verified by exploiting distance transform and distance measurement

Keywords

diagrams; distance measurement; distance transform; elementary structures; graphic symbol recognition; hypothesis-and-test paradigm; line-drawing images; noise-free symbol database; noise-robust general-purpose method; recursive set reduction; signature filter; Bifurcation; Councils; Electronic mail; Filters; Graphics; Image segmentation; Information technology; Multimedia databases; Pixel; Skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on

Conference_Location

Jerusalem

Print_ISBN

0-8186-6270-0

Type

conf

DOI

10.1109/ICPR.1994.577011

Filename

577011