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Author Marçal Rusiñol; Josep Llados edit  openurl
  Title Efficient Logo Retrieval Through Hashing Shape Context Descriptors Type Conference Article
  Year 2010 Publication (up) 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 215–222  
  Keywords  
  Abstract In this paper, we present an approach towards the retrieval of words from graphical document images. In graphical documents, due to presence of multi-oriented characters in non-structured layout, word indexing is a challenging task. The proposed approach uses recognition results of individual components to form character pairs with the neighboring components. An indexing scheme is designed to store the spatial description of components and to access them efficiently. Given a query text word (ascii/unicode format), the character pairs present in it are searched in the document. Next the retrieved character pairs are linked sequentially to form character string. Dynamic programming is applied to find different instances of query words. A string edit distance is used here to match the query word as the objective function. Recognition of multi-scale and multi-oriented character component is done using Support Vector Machine classifier. To consider multi-oriented character strings the features used in the SVM are invariant to character orientation. Experimental results show that the method is efficient to locate a query word from multi-oriented text in graphical documents.  
  Address Boston; USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RuL2010b Serial 1434  
Permanent link to this record
 
 
Author Farshad Nourbakhsh; Dimosthenis Karatzas; Ernest Valveny edit  doi
isbn  openurl
  Title A polar-based logo representation based on topological and colour features Type Conference Article
  Year 2010 Publication (up) 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 341–348  
  Keywords  
  Abstract In this paper, we propose a novel rotation and scale invariant method for colour logo retrieval and classification, which involves performing a simple colour segmentation and subsequently describing each of the resultant colour components based on a set of topological and colour features. A polar representation is used to represent the logo and the subsequent logo matching is based on Cyclic Dynamic Time Warping (CDTW). We also show how combining information about the global distribution of the logo components and their local neighbourhood using the Delaunay triangulation allows to improve the results. All experiments are performed on a dataset of 2500 instances of 100 colour logo images in different rotations and scales.  
  Address Boston; USA;  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-60558-773-8 Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number DAG @ dag @ NKV2010 Serial 1436  
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Author Sebastien Mace; Herve Locteau; Ernest Valveny; Salvatore Tabbone edit  doi
isbn  openurl
  Title A system to detect rooms in architectural floor plan images Type Conference Article
  Year 2010 Publication (up) 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 167–174  
  Keywords  
  Abstract In this article, a system to detect rooms in architectural floor plan images is described. We first present a primitive extraction algorithm for line detection. It is based on an original coupling of classical Hough transform with image vectorization in order to perform robust and efficient line detection. We show how the lines that satisfy some graphical arrangements are combined into walls. We also present the way we detect some door hypothesis thanks to the extraction of arcs. Walls and door hypothesis are then used by our room segmentation strategy; it consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines between regions can also be rough. We take advantage of knowledge associated to architectural floor plans in order to obtain mostly rectangular rooms. Qualitative and quantitative evaluations performed on a corpus of real documents show promising results.  
  Address Boston; USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-60558-773-8 Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number DAG @ dag @ MLV2010 Serial 1437  
Permanent link to this record
 
 
Author Joan Mas; Gemma Sanchez; Josep Llados; B. Lamiroy edit  openurl
  Title An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams Type Conference Article
  Year 2007 Publication (up) 9th IEEE International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 1 Issue Pages 452–456  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ MSL2007a Serial 847  
Permanent link to this record
 
 
Author Marçal Rusiñol; Josep Llados; Philippe Dosch edit  openurl
  Title Camera-Based Graphical Symbol Detection Type Conference Article
  Year 2007 Publication (up) 9th IEEE International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 2 Issue Pages 884–888  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RLD2007 Serial 848  
Permanent link to this record
 
 
Author Miquel Ferrer; Ernest Valveny edit  openurl
  Title Combination of OCR Engines for Page Segmentation based on Performance Evaluation Type Conference Article
  Year 2007 Publication (up) 9th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 2 Issue Pages 784–788  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ FeV2007 Serial 838  
Permanent link to this record
 
 
Author Josep Llados; Gemma Sanchez edit  openurl
  Title Indexing Historical Documents by Word Shape Signatures Type Conference Article
  Year 2007 Publication (up) 9th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 1 Issue Pages 362–366  
  Keywords  
  Abstract  
  Address Curitiba (Brasil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ LlS2007 Serial 882  
Permanent link to this record
 
 
Author Oriol Ramos Terrades; Salvatore Tabbone; Ernest Valveny edit  openurl
  Title A Review of Shape Descriptors for Document Analysis Type Conference Article
  Year 2007 Publication (up) 9th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 1 Issue Pages 227–231  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RTV2007b Serial 884  
Permanent link to this record
 
 
Author S. Chanda; Oriol Ramos Terrades; Umapada Pal edit  openurl
  Title SVM Based Scheme for Thai and English Script Identification Type Conference Article
  Year 2007 Publication (up) 9th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 1 Issue Pages 551–555  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ CRP2007a Serial 885  
Permanent link to this record
 
 
Author Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados edit  openurl
  Title A Pen-based Interface for Real-time Document Edition Type Conference Article
  Year 2007 Publication (up) 9th International Conference on Document Analysis and Recognition. Abbreviated Journal  
  Volume 2 Issue Pages 939–944  
  Keywords  
  Abstract  
  Address Curitiba (Brazil)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RSL2007b Serial 883  
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