Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast Algorithm for Bottom-Up Document Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A simplified approach to the HMM based texture analysis and its application to document segmentation
Pattern Recognition Letters
Document Representation and Its Application to Page Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document page decomposition by the bounding-box project
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Gabor Filter Based Block Energy Analysis for Text Extraction from Digital Document Images
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
IEEE Transactions on Signal Processing
A phase-based approach for caption detection in videos
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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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.