A system for the automatic layout segmentation and classification of digital documents
Luigi Cinque, STEFANO LEVIALDI, Alessio Malizia · 2004
Paper document recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals and entire books, in order to transform them into digital objects. We present a new system for document recognition that follows the open source methodologies, XML description for document segmentation and classification, which turns out to be beneficial in terms of classification precision, and general-purpose availability.