Results 211 to 220 of about 8,200 (255)
Some of the next articles are maybe not open access.
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Hiding information in text documents has been a hot topic recently, with the most typical schemes of utilizing fonts. By constructing several fonts with similar appearances, information can be effectively represented and embedded in documents. However, due to the unstructured characteristic, font vectors are more difficult to synthesize than font ...
Xi Yang +6 more
openaire +1 more source
Fuzzing the Font Parser of Compound Documents
2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud), 2017Currently, complex software (e.g. PDF readers) usually takes various inputs embedded with multiple objects (e.g. fonts, pictures), which may result in bugs. It is a challenge to generate suitable test cases to support fine-grained test to the PDF readers.
Hongliang Liang +3 more
openaire +1 more source
Font and Function Word Identification in Document Recognition
Computer Vision and Image Understanding, 1996An algorithm is presented that identifies the predominant font in which the running text in an English language document is printed. Frequent function words (such asthe,of,and,a, andto) are also recognized as part of the font identification. Clusters of word images are generated from an input document and matched to a database of function words derived
Siamak Khoubyari, Jonathan J. Hull
openaire +1 more source
Font adaptive word indexing of modern printed documents
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006We propose an approach for the word-level indexing of modern printed documents which are difficult to recognize using current OCR engines. By means of word-level indexing, it is possible to retrieve the position of words in a document, enabling queries involving proximity of terms.
MARINAI, SIMONE +2 more
openaire +2 more sources
A study of document image degradation effects on font recognition
Proceedings of 3rd International Conference on Document Analysis and Recognition, 2002A 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, 2013This 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 +1 more
openaire +1 more source
Font finder: Visual recognition of typeface in printed documents
2015 IEEE International Conference on Image Processing (ICIP), 2015We describe a novel algorithm for visually identifying the font used in a scanned printed document. Our algorithm requires no pre-recognition of characters in the string (i. e. optical character recognition). Gradient orientation features are collected local the character boundaries, and quantized into a hierarchical Bag of Visual Words representation.
Tu Bui, John P. Collomosse
openaire +1 more source
Large-Scale Font Identification from Document Images
2020Identification of font in document images has many applications in modern character recognition systems. Visual font recognition task is a challenging yet popular problem in pattern recognition as many designers try to identify a font for their designs from available images.
Subhankar Ghosh +3 more
openaire +1 more source
Multi-font printed Mongolian document recognition system
International Journal on Document Analysis and Recognition (IJDAR), 2010Mongolian 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 +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), 2020While 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
openaire +1 more source