A generalized approach to image representation

Author

Tavakoli, Nassrin

Author_Institution

Dept. of Comput. Sci., North Carolina Univ., Raleigh, NC, USA

fYear

1989

fDate

26-28 Mar 1989

Firstpage

24

Lastpage

27

Abstract

The representation process in both statistical and syntactical approaches is analyzed and discussed. A representation approach that incorporates the topological information about the image without the requirement for a pattern grammar and parser is introduced. This approach is believed to be applicable to a wide domain of situations. Results of implementing this approach for recognition of digitized English characters are given. The test data used for the experiments were obtained by digitizing English text at a density of 250 pixels/in. A sample digitized character is shown

Keywords

computerised pattern recognition; computerised picture processing; statistical analysis; topology; character recognition; digitized English characters; image representation; statistical approach; text image resolution 250 pixels/inch; topological information; Character recognition; Computer science; Data mining; Feature extraction; Image coding; Image recognition; Image representation; Image storage; Pattern matching; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on

Conference_Location

Tallahassee, FL

ISSN

0094-2898

Print_ISBN

0-8186-1933-3

Type

conf

DOI

10.1109/SSST.1989.72428

Filename

72428