Text area detection in digital documents images using textural features
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Date
2007
Authors
Ar, İlktan
Karsligil, M. Elif
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
In this paper we propose a new texture-based method for extraction of text areas in a complex document image. Gabor filter motivated by the multi-channel filtering approach of Human Visual System (HVS) has been employed to create energy map of the document. In this energy map we assumed that text areas were rich in high frequency components. Connected components (probable text characters) were extracted by binarization of the energy map with Otsu's adaptive threshold method. First non-text components such as pictures lines frames etc. were eliminated by Gabor filtering. As a novel approach remaining non-text components were then eliminated by using character component interval tracing. Elimination that formed in two stage enhanced the success of detecting text area on different kinds of digital documents. © Springer-Verlag Berlin Heidelberg 2007.
Description
Keywords
Character tracing, Document image, Gabor filter, Text area extraction
Turkish CoHE Thesis Center URL
Citation
1
WoS Q
N/A
Scopus Q
Q2
Source
Volume
4673 LNCS
Issue
Start Page
555
End Page
562