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	International Journal on Document Analysis and Recognition Springer-Verlag         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 10 reviews Date Reviewed     Text and non-text separation in offline document images: a survey Bhowmik S., Sarkar R., Nasipuri M., Doermann D. International Journal on Document Analysis and Recognition 21(1-2): 1-20, 2018.  Type: Article This survey on text and no-text separation in images presents a quite complete review (list of references) of image document analysis, including printed and handwritten texts. The authors present tables comparing the performance of the... Sep 7 2018   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   Knowledge-driven understanding of images in comic books Rigaud C., Guérin C., Karatzas D., Burie J., Ogier J. International Journal on Document Analysis and Recognition 18(3): 199-221, 2015.  Type: Article Comic books (now more pompously named “graphic novels”) contain complex visual structures, more difficult to recognize than conventional text. Rigaud et al. designed a multi-level method to analyze them, considering... Oct 21 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   A statistical handwriting model for style-preserving and variable character synthesis Chang W., Shin J. International Journal on Document Analysis and Recognition 15(1): 1-19, 2012.  Type: Article Handwriting analysis is an acknowledged field of interest and utility. Synthesizing the characters corresponding to an individual’s handwriting style is of paramount importance for writer identification purposes. In the autho... Jul 26 2012   Text retrieval from early printed books Marinai S. International Journal on Document Analysis and Recognition 14(2): 117-129, 2011.  Type: Article Text retrieval techniques in printed or handwritten documents can be divided into two categories: approaches that are based on searching the text of the transcription of indexed words, and approaches that work directly on text images. ... Sep 29 2011   Digital weight watching: reconstruction of scanned documents Marx M., Gielissen T. International Journal on Document Analysis and Recognition 14(2): 229-239, 2011.  Type: Article In this paper, Marx and Gielissen construct a search system for parliamentary proceedings that have been scanned and processed via optical character recognition (OCR). This type of document has a large file size (in the targeted datase... Jul 25 2011   Farsi and Arabic document images lossy compression based on the mixed raster content model Grailu H., Lotfizad M., Sadoghi-Yazdi H. International Journal on Document Analysis and Recognition 12(4): 227-248, 2009.  Type: Article This paper--on the image compression of documents containing texts--proposes a new compression method based on the mixed raster content (MRC) model. The new method improves compression performance over other similar m... Mar 18 2010       Display 510152550100 per column
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