Access by content to handwritten archive documents: generic document recognition method and platform for annotations

Coüasnon, Bertrand; Camillerapp, Jean; Leplumey, Ivan

doi:10.1007/s10032-007-0044-2

Cited by 16 publications

(9 citation statements)

References 32 publications

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“…Due to their complexity and to the difficulty of being able to build a complete analysis and recognition process, several authors have proposed word or text spotting mechanisms for this kind of documents [21][22][23][24]. Bertrand Coüasnon et al essentially used the same idea when they built a platform for provinding access by content to handwritten documents such as old military registers [25]. Other examples include detecting low contrast strings in complex tables [26], locating the title and author regions in document images [27], or robust detection of text in very noisy document images [28].…”

Section: Example 2: Open Context Bootstrapping Without Full Recognitmentioning

confidence: 99%

Pattern Recognition Methods for Querying and Browsing Technical Documentation

Tombre

2008

Lecture Notes in Computer Science

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To cite this version:Karl Tombre, Bart Lamiroy. Abstract. Graphics recognition deals with the specific pattern recognition problems found in graphics-rich documents, typical technical documentation of all kinds. In this paper, we propose a short journey through 20 years of involvement and contributions within this scientific community, and explore more precisely a few interesting issues found when the problem is to browse, query and navigate in a large and complex set of technical documents.

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Section: Example 2: Open Context Bootstrapping Without Full Recognitmentioning

confidence: 99%

Pattern Recognition Methods for Querying and Browsing Technical Documentation

Tombre

2008

Lecture Notes in Computer Science

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“…High-level knowledge, such as implicit semantic relations, is rarely discussed. Recently, Coü asnon et al [27], [28], [29] presented a generic DMOS system which is based on a grammatical language and an associated parser to recognize table structures. DMOS is effective in recognizing structured documents that can be hierarchically defined by graphical primitives.…”

Section: Related Workmentioning

confidence: 99%

“…Existing engineering interpretation methods may be roughly classified into five categories, depending on the basic technique they rely on: pixel-level knowledge-independent [6], [7], [9], [10], [11], [22], [23], pixel-level knowledge-dependent [13], [16], [17], [18], [20], [24], [25], [26], [27], [28], [29], vectorial-level knowledge-independent [30], [31], [32], [33], vectorial-level knowledge-dependent [34], [35], [36], [37], [38], [39], and hybrid systems [8], [40], [41].…”

Section: Related Workmentioning

confidence: 99%

A Novel Knowledge-Based System for Interpreting Complex Engineering Drawings: Theory, Representation, and Implementation

Lü

Tai

Yang

et al. 2009

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-We present a novel knowledge-based system to automatically convert real-life engineering drawings to content-oriented high-level descriptions. The proposed method essentially turns the complex interpretation process into two parts: knowledge representation and knowledge-based interpretation. We propose a new hierarchical descriptor-based knowledge representation method to organize the various types of engineering objects and their complex high-level relations. The descriptors are defined using an Extended Backus Naur Form (EBNF), facilitating modification and maintenance. When interpreting a set of related engineering drawings, the knowledge-based interpretation system first constructs an EBNF-tree from the knowledge representation file, then searches for potential engineering objects guided by a depth-first order of the nodes in the EBNF-tree. Experimental results and comparisons with other interpretation systems demonstrate that our knowledge-based system is accurate and robust for high-level interpretation of complex real-life engineering projects.

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“…A vast majority of such records have not been digitalized and contain only limited information when considered individually, but provide an intriguing look into the historic life when considered as a complete collection and in the context of their time. Examples of these kind of documents are birth, marriage, and death records 1 , military draft records 2 , court records 3,4 , medical forms, border crossing records, municipal census records, and property registers 5 . Each of these collections in itself is a valuable source of information in historical research, family history and genealogical research.…”

Section: Introductionmentioning

confidence: 99%

“…citeSaund2009. For example, in [4] an annotation platform for archived handwritten documents presented, where the required annotations are produced both automatically and collectively with the help of the readers. Another example is the DEBORA project [5], which aims at developing a remote and collaborative platform for accessing digitized Renaissance books.…”

Section: Introductionmentioning

confidence: 99%

The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

Romero

Fornés

Serrano

et al. 2013

Pattern Recognition

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Historical records of daily activities provide intriguing insights into the life of our ancestors, useful for demography studies and genealogical research. Automatic processing of historical documents, however, has mostly been focused on single works of literature and less on social records, which tend to have a distinct layout, structure, and vocabulary. Such information is usually collected by expert demographers that devote a lot of time to manually transcribe them. To support research in automatic handwriting recognition for historical documents containing social records, this paper presents a new database compiled from a marriage license books collection. Marriage license books are documents that were used for centuries by ecclesiastical institutions to register marriage licenses. Books from this collection are handwritten and span nearly half a millennium until the beginning of the 20th century. In addition, a study is presented about the capability of state-of-the-art handwritten text recognition systems, when applied to the presented database. Baseline results are reported for reference in future studies.

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Access by content to handwritten archive documents: generic document recognition method and platform for annotations

Cited by 16 publications

References 32 publications

Pattern Recognition Methods for Querying and Browsing Technical Documentation

Pattern Recognition Methods for Querying and Browsing Technical Documentation

A Novel Knowledge-Based System for Interpreting Complex Engineering Drawings: Theory, Representation, and Implementation

The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

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