Results 251 to 260 of about 154,547 (310)

Using typography in document image analysis

open access: yes, 1998
Even if font usage plays an important role in Document Image Analysis (DIA), recognition systems generally take the concept of font management in a weaker sense than in the production cycle. With the point of view of the document recognition community, we show how typographic information (characters bitmap, metrics, etc.) can improve existing analysis ...
Frédéric Bapst, Rolf Ingold
openaire   +2 more sources

Granulometric analysis of document images

Object recognition supported by user interaction for service robots, 2003
We report on new form of multivariate granulometries based on rectangles of varying size and aspect ratio. These granulometries are used for describing visual similarity between document images. Rectangular granulometries are used to probe the layout structure of document images, and the rectangular size distributions derived from them are used as ...
Bagdanov, A. D., Worring, M.
openaire   +2 more sources

Analysis of synthetic document images

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
Interoperability and reusability are becoming challenging problems in document engineering that cannot be solved satisfactorily with converters and filters. This paper advocates a new approach for logical structure recovery by means of document recognition techniques that operate on synthetic images, such as those rendered by a PostScript interpreter ...
Oliver Hitz, Lyse Robadey, Rolf Ingold
openaire   +1 more source

Document Image Analysis

1994
A perfectly parallel thinning algorithm, Y.Y. Zhang and P.S.P. Wang background structure in document images, H.S. Baird analysis of form images, D.-C Wang and S.N. Srihari model-based analysis and understanding of check forms, T.H. Minh and H. Bunke document structures - a survey, Y.Y. Tang and C.Y. Suen automatic input of logic diagrams by recognizing
H Bunke, P S P Wang, H Baird
openaire   +2 more sources

Chart analysis and recognition in document images

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002
Hidden Markov models are a probabilistic modeling tool for time series data. It has been successfully applied to many areas, such as speech recognition, hand-written character recognition, etc. In this paper, we present a novel statistical approach using ergodic hidden Markov models to recognize scientific charts.
Yan Ping Zhou, Chew Lim Tan
openaire   +1 more source

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