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	Browse All Reviews > Computing Methodologies (I) > Document And Text Processing (I.7) > Document Capture (I.7.5)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 25 Reviews about "Document Capture (I.7.5)": Date Reviewed   Online recognition of handwritten music symbols Oh J., Son S., Lee S., Kwon J., Kwak N. International Journal on Document Analysis and Recognition 20(2): 79-89, 2017.  Type: Article There has been some progress with the automatic recognition of handwriting in recent years, and the digital analysis of handwritten music poses similar problems. In this case, the online recognition of music symbols means analyzing ind... Jul 14 2017   Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011-2014 Mouchère H., Zanibbi R., Garain U., Viard-Gaudin C. International Journal on Document Analysis and Recognition 19(2): 173-189, 2016.  Type: Article About a dozen institutions compete regularly in the CROHME contest to recognize handwritten mathematics, using stroke-based input. The mathematical expressions used for training and testing were extracted from Wikipedia, and each one w... Sep 7 2016   Offline scripting-free author identification based on speeded-up robust features Sharma M., Dhaka V. International Journal on Document Analysis and Recognition 18(4): 303-316, 2015.  Type: Article Text-independent writer identification (writer ID) has been studied for many years, and more and more techniques are now proposed to deal with various scripts and writing conditions. In general, there are two types of feature extractio... Feb 19 2016   Unsupervised document structure analysis of digital scientific articles Klampfl S., Granitzer M., Jack K., Kern R. International Journal on Digital Libraries 14(3-4): 83-99, 2014.  Type: Article A fully automated approach to analyze PDF scientific articles and parse them into correctly ordered sections and extra metadata is described in this paper. The result is the text, in correct order, from the body of the work, along with... Apr 29 2015   Methods and strategies on off-line cursive touched characters segmentation: a directional review Saba T., Rehman A., Elarbi-Boudihir M. Artificial Intelligence Review 42(4): 1047-1066, 2014.  Type: Article Optical character recognition (OCR) technologies are advancing fields like pattern recognition, machine learning, and artificial intelligence. However, character recognition is solely dependent on line and/or character segmentation. Th... Apr 17 2015   Exploiting discourse information to identify paraphrases Bach N., Minh N., Shimazu A. Expert Systems with Applications: An International Journal 41(6): 2832-2841, 2014.  Type: Article An important task in many natural language applications is to determine whether two sentences have approximately the same meaning, even if they look syntactically different and share only a few words. The problem is usually attacked by... Mar 25 2015   Efficient skew detection of printed document images based on novel combination of enhanced profiles Papandreou A., Gatos B., Perantonis S., Gerardis I. International Journal on Document Analysis and Recognition 17(4): 433-454, 2014.  Type: Article Page skew is one common type of scanning variation in document image analysis. Often, page skew is first corrected before any follow-up tasks such as optical character recognition (OCR) are carried out. Existing methods of skew correct... Mar 19 2015   The optical character recognition of Urdu-like cursive scripts Naz S., Hayat K., Imran Razzak M., Waqas Anwar M., Madani S., Khan S. Pattern Recognition 47(3): 1229-1248, 2014.  Type: Article Optical character recognition (OCR) is a fundamental problem that predates even the birth of computers. Over the decades, a huge bulk of research work has been published, with the majority focused on Roman-like and/or East Asian script... Aug 19 2014   Symbolic machine learning methods for historical document processing Esposito F.  DocEng 2013 (Proceedings of the 2013 ACM Symposium on Document Engineering, Florence, Italy, Sep 10-13, 2013) 1-2, 2013.  Type: Proceedings Historical documents are notoriously vulnerable to decay, either physically or because they were created or stored using technology that becomes obsolete. This paper is the advance abstract of a talk given at the 13th ACM Symposium on ... Nov 18 2013   Word spotting in historical printed documents using shape and sequence comparisons Khurshid K., Faure C., Vincent N. Pattern Recognition 45(7): 2598-2609, 2012.  Type: Article A detailed and practical description of methods for character and word recognition in badly printed materials is presented in this paper. The authors compare their work with commercial optical character recognition software and find th... Mar 11 2013       Display 510152550100 per page
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