ANASTASIL: A System for Low-Level and High-Level Geometric Analysis of Printed Documents

“…A layout-oriented structure relies more heavily on visual presentation. Therefore, in content-oriented methods, OCR data is analyzed and utilized; whereas, in layoutoriented methods, image-processing methods, such as segmentation, projection profiles, texture analysis, play the major role (Dengel, 1992.…”

Section: Related Researchmentioning

confidence: 99%

Document Analysis Systems V

2002

Lecture Notes in Computer Science

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“…This approach extracts logical entities from a document quickly and effectively, while satisfying geometric constraints defined in the knowledge. Some systems [16][17][18] have been proposed to handle specific types of document, but each type of document consists of similar layout styles.…”

Section: Model-based Document Image Understandingmentioning

confidence: 99%

“…The system interpreted this knowledge in order to perform generate-and-test of hierarchical hypotheses about logical entities of a visiting card. Dengel constructed the system named ANASTASIL [18], which extracted logical entities from a business letter while hypothesising and testing spatial constraints for a logical structure of a document with two kinds of knowledge sources. The system provided global geometric knowledge about the arrangement of logical entities, and local geometric knowledge about the geometric properties of logical entities.…”

Section: Model-based Document Image Understandingmentioning

confidence: 99%

Flexible and Robust Model Matching based on Association Graph for Form Image Understanding

Ishitani

2000

Pattern Analysis & Applications

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A new method of image understanding for forms based on model matching is proposed in this paper as the basis of an OCR which can read a variety of forms. The outline of this method is described as follows. First, ruled lines are extracted from the input image of a form. After that, several lines are grouped as one to be recognised as data corresponding to a sub-form. These lines and subforms are both used for understanding the form, taking into account their feature attributes and the relationships between them. Each feature in the input image of a form is expected to correspond to a feature in one of the model forms, which are described as structured features. This correspondence is represented by a node in an association graph, where an arc represents compatible correspondences established on the basis of feature relationships. The best match is found as the largest maximal clique in the association graph. Experimental results show the method is robust and effective for document images of poor quality, and also for various styles of forms.

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ANASTASIL: A System for Low-Level and High-Level Geometric Analysis of Printed Documents

Cited by 34 publications

References 3 publications

Distributed fax message processing system

Distributed fax message processing system

Document Analysis Systems V

Flexible and Robust Model Matching based on Association Graph for Form Image Understanding

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