Integrated search tools for newspaper digital libraries (demonstration session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM)
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
DAN: An Automatic Segmentation and Classification Engine for Paper Documents
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Arabic Newspaper Page Segmentation
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Proceedings of the 2007 conference on Human interface: Part II
Construction of isothetic covers of a digital object: A combinatorial approach
Journal of Visual Communication and Image Representation
Use of perceptive vision for ruling recognition in ancient documents
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Isothetic polygonal approximations of a 2d object on generalized grid
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Newspaper article reconstruction using ant colony optimization and bipartite graph
Applied Soft Computing
Text graphic separation in Indian newspapers
Proceedings of the 4th International Workshop on Multilingual OCR
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The conversion of newspaper pages into digital resources is an important task that greatly contributes to the preservation and access to newspaper archives. In this paper, an integrated methodology is presented for segmenting newspaper page and identifying newspaper articles. In a first stage, a succession of image processing and document analysis algorithms is employed for segmenting newspaper page images into various objects (text, images and drawings, titles). A rule based approach is subsequently applied to the objects identified during the page segmentation phase for reconstructing individual articles. Experimental results, obtained from a large testbed of old newspaper issues, are presented which clearly demonstrate the applicability of our integrated approach to successful newspaper page segmentation and identification of newspaper articles.