A robust recognition system for a drawing superimposed on a map

Shimotsuji, Shigeyoshi; Hori, Osamu; Asano, Masafumi; Suzuki, Kaoru; Hoshino, Fumihiko; Ishii, T.

doi:10.1109/2.144440

Cited by 27 publications

(5 citation statements)

References 3 publications

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“…Similarly archiving of ancient maps is needed for archaeologists and historians. Researchers have been working on digitization of maps since the 1980s [38,69]. [19] is an extensive survey of techniques used for digital map processing.…”

Section: Mapsmentioning

confidence: 99%

Applications of Text Detection and its Challenges

Nevetha

Baskar

2015

Proceedings of the Third International Symposium on Women in Computing and Informatics

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The rising need for automation of systems has effected the development of text detection and recognition from images to a large extent. Text recognition has a wide range of applications, each with scenario dependent challenges and complications. How can these challenges be mitigated? What image processing techniques can be applied to make the text in the image machine readable? How can text be localized and separated from non textual information? How can the text image be converted to digital text format? This paper attempts to answer these questions in chosen scenarios. The types of document images that we have surveyed include general documents such as newspapers, books and magazines, forms, scientific documents, unconstrained documents such as maps, architectural and engineering drawings, and scene images with textual information.

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Section: Mapsmentioning

confidence: 99%

Applications of Text Detection and its Challenges

Nevetha

Baskar

2015

Proceedings of the Third International Symposium on Women in Computing and Informatics

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“…19 First, graphic and character regions are decomposed into primitive lines, the definition of which includes their orientation and connections to other lines. Objects are extracted from these primitive lines by recognition techniques that use shape and topological information to group them into meaningful sets such as character strings, symbols, and figure lines.…”

Section: Laboratory Map Interpretation Systemsmentioning

confidence: 99%

A Complete System for Interpretation of Color Maps

Ablameyko

Bereishik

Homenko

et al. 2002

Int. J. Image Grap.

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The paper describes a system and technology for the automatic/interactive interpretation of color maps. Due to the fact that a completely automatic solution is impossible, a combination of automatic and interactive techniques is used. Firstly, color recognition and separation is performed. For automatic map vectorization, a special fast scheme is used. To make digitization more automatic and user-friendly, an interactive digitizing mode has been developed to extract line-based cartographic objects from vectorised data. The system has a powerful and friendly user interface that is described in the paper. The system is used successfully in the digitization of topographic and other types of map.

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“…Most of the proposed systems use strictly bottom-up approaches, based on a pre-fixed construction scenario using a low level indication extracted from the image [2,10,12,[46][47][48]. These approaches are based on the robustness of the primitives extractors, and on an exhaustive explicit representation of the knowledge, transcribed into a set of construction methods for the interpretation.…”

Section: Technical Documents Analysismentioning

confidence: 99%

Technical Map Interpretation: A Distributed Approach

Ogier

Mullot

Labiche

et al. 2000

Pattern Analysis & Applications

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This paper deals with the general problem of document understanding. We propose the description of a formal architecture of a device capable of interpreting technical and cartographic documents. This device relies on two main points, i.e. a model of the document and the implementation of a set of 'builders', the aim of which is to progressively construct information of as high a semantic level as that provided by the document drawer. Two main stages are integrated in the reasoning process: the first one consists in constructing the information, through a bottom-up approach. Then, a cycling stage is triggered to solve ambiguities detected by the system and corresponding to inconsistent objects with regard to the document model. In this paper, the whole approach is presented in the context of the French cadaster interpretation. The first implementation has enabled us to quantify the interpretation results and to verify the relevance of the cycling stage.

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A robust recognition system for a drawing superimposed on a map

Cited by 27 publications

References 3 publications

Applications of Text Detection and its Challenges

Applications of Text Detection and its Challenges

A Complete System for Interpretation of Color Maps

Technical Map Interpretation: A Distributed Approach

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