A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skew Angle Detection of Digitized Indian Script Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
PatchMatch: a randomized correspondence algorithm for structural image editing
ACM SIGGRAPH 2009 papers
A smart automatic thumbnail cropping based on attention driven regions of interest extraction
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
A CRF Based Scheme for Overlapping Multi-colored Text Graphics Separation
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Margin noise removal from printed document images
Proceeding of the workshop on Document Analysis and Recognition
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We propose here a technique for transforming the layout of a printed document image to a new user-conducive layout. Its objective is to effectuate better display in a low-resolution screen for providing comfort and convenience to a viewer while reading. The task of re-targeting starts with analyzing the document image in the spatial domain for identifying its paragraphs. Text lines, words, characters, and hyphenations are then recognized from each paragraph, and necessary word stitching is performed to reproduce the paragraph, as appropriate to the resolution of the display device. Test results and related subjective evaluation for different datasets, especially the pages scanned from some Bengali and English magazines, demonstrate the strength and effectiveness of the proposed technique.