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Josep Llados; Daniel Lopresti; Seiichi Uchida (eds) |
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Title |
16th International Conference, 2021, Proceedings, Part I |
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Book Whole |
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Year |
2021 |
Publication |
Document Analysis and Recognition – ICDAR 2021 |
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12821 |
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This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.
The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition. |
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Lausanne, Switzerland, September 5-10, 2021 |
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Springer Cham |
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Josep Llados; Daniel Lopresti; Seiichi Uchida |
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LNCS |
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978-3-030-86548-1 |
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ICDAR |
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Admin @ si @ |
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3725 |
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Author |
Josep Llados; Daniel Lopresti; Seiichi Uchida (eds) |
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Title |
16th International Conference, 2021, Proceedings, Part II |
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Book Whole |
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Year |
2021 |
Publication |
Document Analysis and Recognition – ICDAR 2021 |
Abbreviated Journal |
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12822 |
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Abstract |
This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.
The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding. |
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Lausanne, Switzerland, September 5-10, 2021 |
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Springer Cham |
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Josep Llados; Daniel Lopresti; Seiichi Uchida |
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LNCS |
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978-3-030-86330-2 |
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ICDAR |
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Admin @ si @ |
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3726 |
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Author |
Josep Llados; Dimosthenis Karatzas; Joan Mas; Gemma Sanchez |
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Title |
A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives |
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Journal |
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Year |
2008 |
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Journal of Universal Computer Science |
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14 |
Issue |
18 |
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2912–2935 |
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Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition |
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DAG @ dag @ LKM2008 |
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1142 |
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Author |
Josep Llados; Dorothea Blostein |
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Title |
Special Issue on Graphics Recognition |
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Journal |
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Year |
2007 |
Publication |
International Journal on Document Analysis and Recognition |
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IJDAR |
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9 |
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1 |
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1–2 |
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DAG @ dag @ LlB2007 |
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781 |
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Author |
Josep Llados; Enric Marti |
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Title |
A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems. |
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Miscellaneous |
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1999 |
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Machine Graphics & Vision, 8(2):195–211. |
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DAG @ dag @ LlM1999a |
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187 |
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Author |
Josep Llados; Enric Marti |
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Title |
A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems |
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Journal Article |
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Year |
1999 |
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Machine Graphics & Vision |
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8 |
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195-211 |
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DAG;IAM; |
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IAM @ iam @ LIM1999 |
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1568 |
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Author |
Josep Llados; Enric Marti |
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Title |
Graph-edit algorithms for hand-drawn graphical document recognition and their automatic introduction |
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Journal Article |
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1999 |
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Machine Graphics & Vision journal, special issue on Graph transformation |
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DAG;IAM |
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IAM @ iam @ LIM1999c |
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1569 |
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Author |
Josep Llados; Enric Marti |
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Title |
Playing with error-tolerant subgraph isomorphism in line drawings |
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Conference Article |
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1997 |
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VII National Symposium on Pattern Recognition and image Analysis |
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DAG;IAM; |
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IAM @ iam @ LlM1997 |
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1570 |
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Author |
Josep Llados; Enric Marti |
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Title |
Interpretacio de dibuixos lineals mitjançant tècniques d isomorfisme entre grafs |
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Conference Article |
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1995 |
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Trobada de Joves Investigadors |
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L’anàlisi de documents té com a objectiu la interpretació automàtica de documents impresos sobre paper, amb la finalitat d’obtenir una descripció simbòlica d’aquests, que permeti el seu emmagatzemament i posterior tractament computacional. Les tècniques basades en grafs relacionals d’atributs permeten representar de manera compacta la informació continguda en dibuixos lineals i mitjançant mecanismes d’isomorfisme entre grafs, reconèixer-hi certes estructures i d’aquesta manera, interpretar el document. En aquest treball es dóna una visió general de les tènciques de grafs aplicades al reconeixement visual d’objectes en problemes d’anàlisi de documents. Aquestes tècniques s’il·lustren amb un exemple de reconeixement de plànols dibuixats a mà alçada. Finalment es proposa la utilització de tècniques de Hough com a mecanisme per accelerar el procés de reconeixement aplicant un cert coneixement sobre el domini en el que es treballa |
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DAG;IAM |
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IAM @ iam @ LlM1995 |
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1578 |
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Author |
Josep Llados; Enric Marti; Jaime Lopez-Krahe |
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Title |
A Hough-based method for hatched pattern detection in maps and diagrams |
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Conference Article |
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1999 |
Publication |
Proceeding of the Fifth Int. Conf. Document Analysis and Recognition ICDAR ’99 |
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479-482 |
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A hatched area is characterized by a set of parallel straight lines placed at regular intervals. In this paper, a Hough-based schema is introduced to recognize hatched areas in technical documents from attributed graph structures representing the document once it has been vectorized. Defining a Hough-based transform from a graph instead of the raster image allows to drastically reduce the processing time and, second, to obtain more reliable results because straight lines have already been detected in the vectorization step. A second advantage of the proposed method is that no assumptions must be made a priori about the slope and frequency of hatching patterns, but they are computed in run time for each hatched area. |
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DAG;IAM; |
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IAM @ iam @ LIM1999b |
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1580 |
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