Article,

Text-Image Separation in Document Images Using Boundary/Perimeter Detection

, and .
ACEEE International Journal on Signal & Image Processing, 3 (1): 5 (January 2012)

Abstract

Document analysis plays an important role in office automation, especially in intelligent signal processing. The proposed system consists of two modules: block segmentation and block identification. In this approach, first a document is segmented into several non-overlapping blocks by utilizing a novel recursive segmentation technique, and then extracts the features embedded in each segmented block are extracted. Two kinds of features, connected components and image boundary/perimeter features are extracted. The features are verified to be effective in characterizing document blocks. Last, the identification module to determine the identity of the considered block is developed. Wide verities of documents are used to verify the feasibility of this approach.

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