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Author |
Antonio Clavelli; Dimosthenis Karatzas; Josep Llados |


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Title |
A framework for the assessment of text extraction algorithms on complex colour images |
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Conference Article |
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Year |
2010 |
Publication  |
9th IAPR International Workshop on Document Analysis Systems |
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19–26 |
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The availability of open, ground-truthed datasets and clear performance metrics is a crucial factor in the development of an application domain. The domain of colour text image analysis (real scenes, Web and spam images, scanned colour documents) has traditionally suffered from a lack of a comprehensive performance evaluation framework. Such a framework is extremely difficult to specify, and corresponding pixel-level accurate information tedious to define. In this paper we discuss the challenges and technical issues associated with developing such a framework. Then, we describe a complete framework for the evaluation of text extraction methods at multiple levels, provide a detailed ground-truth specification and present a case study on how this framework can be used in a real-life situation. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAG @ dag @ CKL2010 |
Serial |
1432 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |


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Title |
Query Driven Word Retrieval in Graphical Documents |
Type |
Conference Article |
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Year |
2010 |
Publication  |
9th IAPR International Workshop on Document Analysis Systems |
Abbreviated Journal |
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191–198 |
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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. |
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Boston; USA |
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978-1-60558-773-8 |
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no |
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DAG @ dag @ RPL2010b |
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1433 |
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Author |
Marçal Rusiñol; Josep Llados |

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Title |
Efficient Logo Retrieval Through Hashing Shape Context Descriptors |
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Conference Article |
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Year |
2010 |
Publication  |
9th IAPR International Workshop on Document Analysis Systems |
Abbreviated Journal |
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215–222 |
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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. |
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Boston; USA |
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DAG @ dag @ RuL2010b |
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1434 |
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Author |
Farshad Nourbakhsh; Dimosthenis Karatzas; Ernest Valveny |


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Title |
A polar-based logo representation based on topological and colour features |
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Conference Article |
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Year |
2010 |
Publication  |
9th IAPR International Workshop on Document Analysis Systems |
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Pages |
341–348 |
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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. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAG @ dag @ NKV2010 |
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1436 |
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Author |
Sebastien Mace; Herve Locteau; Ernest Valveny; Salvatore Tabbone |


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Title |
A system to detect rooms in architectural floor plan images |
Type |
Conference Article |
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Year |
2010 |
Publication  |
9th IAPR International Workshop on Document Analysis Systems |
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Pages |
167–174 |
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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. |
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Boston; USA |
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978-1-60558-773-8 |
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DAG @ dag @ MLV2010 |
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1437 |
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Author |
Joan Mas; Gemma Sanchez; Josep Llados; B. Lamiroy |

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Title |
An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams |
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Conference Article |
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2007 |
Publication  |
9th IEEE International Conference on Document Analysis and Recognition |
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1 |
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452–456 |
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Curitiba (Brazil) |
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DAG @ dag @ MSL2007a |
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847 |
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Author |
Marçal Rusiñol; Josep Llados; Philippe Dosch |

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Title |
Camera-Based Graphical Symbol Detection |
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Conference Article |
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2007 |
Publication  |
9th IEEE International Conference on Document Analysis and Recognition |
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2 |
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884–888 |
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Curitiba (Brazil) |
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DAG @ dag @ RLD2007 |
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848 |
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Author |
Miquel Ferrer; Ernest Valveny |

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Title |
Combination of OCR Engines for Page Segmentation based on Performance Evaluation |
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Conference Article |
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2007 |
Publication  |
9th International Conference on Document Analysis and Recognition |
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2 |
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784–788 |
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Curitiba (Brazil) |
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DAG @ dag @ FeV2007 |
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838 |
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Author |
Josep Llados; Gemma Sanchez |

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Title |
Indexing Historical Documents by Word Shape Signatures |
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Conference Article |
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2007 |
Publication  |
9th International Conference on Document Analysis and Recognition |
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1 |
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362–366 |
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Curitiba (Brasil) |
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DAG @ dag @ LlS2007 |
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882 |
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Author |
Oriol Ramos Terrades; Salvatore Tabbone; Ernest Valveny |

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Title |
A Review of Shape Descriptors for Document Analysis |
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Conference Article |
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Year |
2007 |
Publication  |
9th International Conference on Document Analysis and Recognition |
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1 |
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227–231 |
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Curitiba (Brazil) |
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DAG @ dag @ RTV2007b |
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884 |
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