Indexing of Document Images Based on Triangular Spatial Relationships

Author

Punitha, P. ; Naveen ; Guru, D.S.

Author_Institution

Dept. of Studies in Comput. Sci., Mysore Univ.

fYear

2007

fDate

5-7 March 2007

Firstpage

533

Lastpage

537

Abstract

In this paper, a new scheme of indexing document images based on B-tree by preserving triangular spatial relationships (TSR) among the components of a document image is proposed. A new technique for labeling of components in document images is also proposed. A procedure for classifying retrieved images and a method of ranking the retrieved document images are also proposed. The retrieval results of the proposed TSR based indexing scheme is compared with nine-directional codes based (NDC) indexing scheme and also with the retrieval results of human experts. The experiments are conducted on the MediaTeam document image database that provides diverse collection of document images

Keywords

database indexing; document image processing; image retrieval; trees (mathematics); visual databases; B-tree; document image database; document image indexing; image retrieval; triangular spatial relationship; Computer science; Humans; Image databases; Image retrieval; Image storage; Indexing; Information retrieval; Labeling; Polynomials; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing: Theory and Applications, 2007. ICCTA '07. International Conference on

Conference_Location

Kolkata

Print_ISBN

0-7695-2770-1

Type

conf

DOI

10.1109/ICCTA.2007.73

Filename

4127426