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Author |
Manuel Carbonell; Joan Mas; Mauricio Villegas; Alicia Fornes; Josep Llados |
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Title |
End-to-End Handwritten Text Detection and Transcription in Full Pages |
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Conference Article |
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Year |
2019 |
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2nd International Workshop on Machine Learning |
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5 |
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29-34 |
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Handwritten Text Recognition; Layout Analysis; Text segmentation; Deep Neural Networks; Multi-task learning |
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Abstract |
When transcribing handwritten document images, inaccuracies in the text segmentation step often cause errors in the subsequent transcription step. For this reason, some recent methods propose to perform the recognition at paragraph level. But still, errors in the segmentation of paragraphs can affect
the transcription performance. In this work, we propose an end-to-end framework to transcribe full pages. The joint text detection and transcription allows to remove the layout analysis requirement at test time. The experimental results show that our approach can achieve comparable results to models that assume
segmented paragraphs, and suggest that joining the two tasks brings an improvement over doing the two tasks separately. |
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Sydney; Australia; September 2019 |
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DAG; 600.140; 601.311; 600.140 |
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Admin @ si @ CMV2019 |
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3353 |
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Author |
Josep Llados; Jaime Lopez-Krahe; Gemma Sanchez; Enric Marti |
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Title |
Interprétation de cartes et plans par mise en correspondance de graphes de attributs |
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2000 |
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12 Congrès Francophone AFRIF–AFIA |
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3 |
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225-234 |
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IAM @ iam @ LLS2000 |
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1567 |
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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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2007 |
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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 |
Marçal Rusiñol; Josep Llados; Philippe Dosch |
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Title |
Camera-Based Graphical Symbol Detection |
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2007 |
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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 |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
A Pen-based Interface for Real-time Document Edition |
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Conference Article |
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2007 |
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9th International Conference on Document Analysis and Recognition. |
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2 |
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939–944 |
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Curitiba (Brazil) |
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DAG @ dag @ RSL2007b |
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883 |
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Author |
Agnes Borras; Josep Llados |
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Title |
A Multi-Scale Layout Descriptor Based on Delaunay Triangulation for Image Retrieval |
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2008 |
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3rd International Conference on Computer Vision Theory and Applications VISAPP (2) 2008 |
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2 |
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139-144 |
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Funchal, Madeira (Portugal) |
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DAG @ dag @ BoL2008 |
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981 |
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Author |
Josep Llados; Jaime Lopez-Krahe; Enric Marti |
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Title |
Hand drawn document understanding using the straight line Hough transform and graph matching |
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1996 |
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Proceedings of the 13th International Pattern Recognition Conference (ICPR’96) |
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2 |
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497-501 |
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This paper presents a system to understand hand drawn architectural drawings in a CAD environment. The procedure is to identify in a floor plan the building elements, stored in a library of patterns, and their spatial relationships. The vectorized input document and the patterns to recognize are represented by attributed graphs. To recognize the patterns as such, we apply a structural approach based on subgraph isomorphism techniques. In spite of their value, graph matching techniques do not recognize adequately those building elements characterized by hatching patterns, i.e. walls. Here we focus on the recognition of hatching patterns and develop a straight line Hough transform based method in order to detect the regions filled in with parallel straight fines. This allows not only to recognize filling patterns, but it actually reduces the computational load associated with the subgraph isomorphism computation. The result is that the document can be redrawn by editing all the patterns recognized |
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Vienna , Austria |
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DAG;IAM; |
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IAM @ iam @ LLM1996 |
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1579 |
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Author |
Ernest Valveny; Enric Marti |
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Title |
Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework |
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2000 |
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Proc. 15th Int Pattern Recognition Conf |
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2 |
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239-242 |
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Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm. |
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0-7695-0750-6 |
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DAG;IAM; |
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IAM @ iam @ VAM2000 |
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1656 |
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Author |
G.Thorvaldsen; Joana Maria Pujadas-Mora; T.Andersen ; L.Eikvil; Josep Llados; Alicia Fornes; Anna Cabre |
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Title |
A Tale of two Transcriptions |
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2015 |
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Historical Life Course Studies |
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2 |
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1-19 |
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Nominative Sources; Census; Vital Records; Computer Vision; Optical Character Recognition; Word Spotting |
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non-indexed
This article explains how two projects implement semi-automated transcription routines: for census sheets in Norway and marriage protocols from Barcelona. The Spanish system was created to transcribe the marriage license books from 1451 to 1905 for the Barcelona area; one of the world’s longest series of preserved vital records. Thus, in the Project “Five Centuries of Marriages” (5CofM) at the Autonomous University of Barcelona’s Center for Demographic Studies, the Barcelona Historical Marriage Database has been built. More than 600,000 records were transcribed by 150 transcribers working online. The Norwegian material is cross-sectional as it is the 1891 census, recorded on one sheet per person. This format and the underlining of keywords for several variables made it more feasible to semi-automate data entry than when many persons are listed on the same page. While Optical Character Recognition (OCR) for printed text is scientifically mature, computer vision research is now focused on more difficult problems such as handwriting recognition. In the marriage project, document analysis methods have been proposed to automatically recognize the marriage licenses. Fully automatic recognition is still a challenge, but some promising results have been obtained. In Spain, Norway and elsewhere the source material is available as scanned pictures on the Internet, opening up the possibility for further international cooperation concerning automating the transcription of historic source materials. Like what is being done in projects to digitize printed materials, the optimal solution is likely to be a combination of manual transcription and machine-assisted recognition also for hand-written sources. |
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2352-6343 |
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DAG; 600.077; 602.006 |
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Admin @ si @ TPA2015 |
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2582 |
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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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2007 |
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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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