A fuzzy approach to segment document images

Author

Giorgini, Fabrizio ; Verrini, Alberto ; Dellepiane, Silvana

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1999

fDate

1999

Firstpage

987

Lastpage

991

Abstract

A new method to segment characters and numbers in the presence of a coloured background, texture and noise is presented. It also shows that it is able to work correctly on a document with overlapped static and dynamic structures. This method, based on the concept of fuzzy connectivity exploits both intensity information and continuity of direction which characterise structures belonging to the document. An image-scanning mechanism that is non-iterative and non-causal is used to propagate the information by following paths with maximum connectivity. The final result of this process is a grey level image ( the “connectedness” image) where every value represents the degree of membership of the pixel to the object searched

Keywords

document image processing; fuzzy logic; image segmentation; image texture; noise; OCR; coloured background; connectedness image; continuity of direction; degree of membership; document image segmentation; fuzzy approach; fuzzy connectivity; grey level image; image texture; image-scanning mechanism; intensity information; maximum connectivity paths; noise; non-causal mechanism; non-iterative mechanism; overlapped dynamic structures; overlapped static structures; Background noise; Colored noise; Data mining; Dynamic compiler; Humans; Image color analysis; Image processing; Image segmentation; Image texture analysis; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 1999. Proceedings. International Conference on

Conference_Location

Venice

Print_ISBN

0-7695-0040-4

Type

conf

DOI

10.1109/ICIAP.1999.797724

Filename

797724