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	Browse All Reviews > Computing Methodologies (I) > Document And Text Processing (I.7) > Document Capture (I.7.5) > Optical Character Recognition (OCR) (I.7.5...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-7 of 7 Reviews about "Optical Character Recognition (OCR) (I.7.5...)": Date Reviewed   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   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   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   Handwritten document retrieval strategies Govindaraju V., Cao H., Bhardwaj A.  AND 2009 (Proceedings of the 3rd Workshop on Analytics for Noisy Unstructured Text Data, Barcelona, Spain, Jul 23-24, 2009) 3-7, 2009.  Type: Proceedings Three different techniques used to improve the performance of handwritten document retrieval, via user queries, when using optical character recognition (OCR), are the focus of this interesting conference paper. While the main theme an... Oct 22 2009   Character recognition systems: a guide for students and practitioners Cheriet M., Kharma N., Liu C., Suen C., Wiley-Interscience, 2007. 360 pp.  Type: Book (9780471415701) Despite recent advances in pattern recognition techniques, the field of optical character recognition (OCR) still lags far behind the capabilities of humans. There have been quite a few developments since the last crop of OCR books [1,... Mar 12 2008   Low resolution character recognition by dual eigenspace and synthetic degraded patterns Sun J., Hotta Y., Katsuyama Y., Naoi S.  Hardcopy document processing (Proceedings of the 1st ACM Workshop on Hardcopy Document Processing, Washington, DC, USA, Nov 12, 2004) 15-22, 2004.  Type: Proceedings The authors have devised a novel method for the recognition of low-resolution character images, based on the extraction of features from the dual eigenspace and synthetic degraded patterns. The first stage of the recognition system is ... May 12 2005   Optical character recognition Mori S., Nishida H., Yamada H., John Wiley & Sons, Inc., New York, NY, 1999.  Type: Book (047308196) In this comprehensive text on optical character recognition (OCR), the authors blend the theoretical with the practical, the breadth of survey with the depth of analysis, and the algorithmic approach with the mathematical. As such, the... Mar 1 2000       Display 510152550100 per page
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