Results 171 to 180 of about 215 (210)

A study of document image degradation effects on font recognition

Proceedings of 3rd International Conference on Document Analysis and Recognition, 2002
A font recognition system allowing the identification of font families, weights, slopes and sizes with an accuracy of 99% for weights and slopes and 96% for families and sizes, has been developed. Our system uses a knowledge base of 240 fonts models, which have been created from a training set of text images written with these different fonts.
Abdel Wahab Zramdini, Rolf Ingold
openaire   +1 more source

Balancing font sizes for flexibility in automated document layout

Proceedings of the 2013 ACM symposium on Document engineering, 2013
This paper presents an improved approach for automatically laying out content onto a document page, where the number and size of the items are unknown in advance. Our solution leverages earlier results from Oliveira (2008) wherein layouts are modeled by a guillotine partitioning of the page.
Ricardo Farias Bidart Piccoli, João Batista S. de Oliveira   +1 more
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Multi-font printed Mongolian document recognition system

International Journal on Document Analysis and Recognition (IJDAR), 2010
Mongolian is one of the most common written languages in China, Mongolia, and Russia. Many printed Mongolian documents still remain to be digitized for digital library applications. The traditional Mongolian script has a unique vertical cursive writing style and multiple font variations, which makes Mongolian Optical Character Recognition challenging ...
Liangrui Peng, Changsong Liu, Xiaoqing Ding, Jianming Jin, Youshou Wu, Hua Wang, Yanhua Bao   +6 more
openaire   +1 more source

Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
While optical character recognition has attracted considerable interest from researchers in recent times, automating font identification in printed/scanned documents is still not a well explored problem. With the increasing variety of fonts in the open community, identifying the different fonts used in a given document image can often provide important
Nikita Goel, Monika Sharma, Lovekesh Vig
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Identification of Font Styles and Typefaces in Printed Korean Documents

2003
This paper proposes a system for the extraction of typographical attributes, such as font style and typeface, that can be used to improve the performance of OCR and keyword spotting technologies on printed Korean document images. Three typographical features have been devised and experimented with 7,200 Korean word images. The individual accuracies for
C. B. Jeong, H. K. Kwag, S. H. Kim, J. S. Kim, S. C. Park   +4 more
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The Implications of Insecure Use of Fonts Against PDF Documents and Web Pages

IEEE Transactions on Information Forensics and Security
Zhuo Lu, Mingkui Wei, Junjie Xiong
exaly   +2 more sources

Using position, fonts and cited references to retrieve scientific documents

Journal of Information Science, 2007
As more and more documents become available on the internet, finding documents that fit users' needs from databases containing millions of documents is becoming increasingly important. Since a scientific document is a structured text, it has some useful features that can be used to improve retrieval performance.
Yen-Liang Chen, Li-Chen Cheng, Yun-Ling Cheng   +2 more
openaire   +1 more source

Information loss in digital documents: Gurmukhi fonts perspective

2015 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services, 2015
Digital representation of Indic script in digital documents remain one of the prominent problems in recent era. The fonts have its effect in the continuation of digital documents and the need of fonts cannot be overemphasized in digital world, when one comes to preservation of Indie script documents for India digital libraries.
Gurjot Singh Mahi, Amandeep Verma, Kanwalpreet Singh Bajwa, Gagandeep Singh   +3 more
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Intrinsic signatures for scanned documents forensics : Effect of font shape and size

Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010
Recently there has been a great deal of interest in using features intrinsic to a data-generating sensor for the purpose of source identification. Numerous methods have been proposed for different problems related to sensor forensics, such as source camera identification using sensor noise as intrinsic signatures, printer identification using banding ...
Nitin Khanna, Edward J. Delp
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Script independent detection of bold words in multi font-size documents

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013
A script independent, font-size independent scheme is proposed for detecting bold words in printed pages. In OCR applications such as minor modifications of an existing printed form, it is desirable to reproduce the font size and characteristics such as bold, and italics in the OCR recognized document.
Pedamalli Saikrishna, A. G. Ramakrishnan
openaire   +1 more source