Geometric correction of historical Arabic documents

Geometric deformations in historical documents significantly influence the success of both Optical Character Recognition (OCR) techniques and human readability. They may have been introduced at any time during the life cycle of a document, from when it was first printed to the time it was digitised by an imaging device. This Thesis focuses on the challenging domain of geometric correction of Arabic historical documents, where background research has highlighted that existing approaches for geometric correction of Latin-script historical documents are not sensitive to the characteristics of text in Arabic documents and therefore cannot be applied successfully. Text line segmentation and baseline detection algorithms have been investigated to propose a new more suitable one for warped Arabic historical document images. Advanced ideas for performing dewarping and geometric restoration on historical Arabic documents, as dictated by the specific characteristics of the problem have been implemented.In addition to developing an algorithm to detect accurate baselines of historical printed Arabic documents the research also contributes a new dataset consisting of historical Arabic documents with different degrees of warping severity.Overall, a new dewarping system, the first for Historical Arabic documents, has been developed taking into account both global and local features of the text image and the patterns of the smooth distortion between text lines. By using the results of the proposed line segmentation and baseline detection methods, it can cope with a variety of distortions, such as page curl, arbitrary warping and fold

Manual / Issue 13 / Storage

Manual, a journal about art and its making. Storage. Manual 13 opens with an introduction by Fred Wilson, who confides, “You can look at all the opulence on display in a museum and begin to understand that something nefarious might be behind it. Storage, for me, is where the action is.” Museums usually make choices for viewers, their curators presenting what they think most important within a category. They can be so good at doing this that visitors sometimes don’t realize there’s anything else to see: they don’t realize the nature of the decisions behind an exhibition, and they accept that the elites have made a judgment about which shoe is the shoe to see. Visitors can learn about what’s great, but they don’t necessarily consider the process of discernment. –– Fred Wilson The RISD Museum’s thirteenth issue of Manual unpacks the idea and reality of storage—objects museums don’t put on view, works made as containers of various sorts, and more metaphorical considerations about how meanings and narratives are stored. This issue serves as a companion to the Raid the Icebox Now series of exhibitions on view at the RISD Museum through November 2020, in which nine contemporary artists and design collectives use the museum and its collections as a site for critical creative production and presentation. Raid the Icebox Now marks the 50th anniversary of Raid the Icebox 1 with Andy Warhol, held in 1970 at the RISD Museum. Softcover, 120 pages. Published Fall/Winter 2019 by the RISD Museum. Manual 13 (Storage) contributors include: Christina Alderman, Issac M. Alderman, A.H. Jerriod Avant, Hannah Carlson, Wai Yee Chiong, John Dunnigan, Maria Morris Hambourg, David Hartt, Elaine Tyler May, Claire McCardell, Denise Murrell, Ingrid Schaffner, Holly Shaffer, Tanya Sheehan, John W. Smith, Mimi Smith, Sassan Tabatabai, Allen Wexler, and Fred Wilson.https://digitalcommons.risd.edu/risdmuseum_journals/1039/thumbnail.jp

Recognition of mathematical handwriting on whiteboards

Automatic recognition of handwritten mathematics has enjoyed significant improvements in the past decades. In particular, online recognition of mathematical formulae has seen a number of important advancements. However, in reality most mathematics is still taught and developed on regular whiteboards and offline recognition remains an open and challenging task in this area. In this thesis we develop methods to recognise mathematics from static images of handwritten expressions on whiteboards, while leveraging the strength of online recognition systems by transforming offline data into online information. Our approach is based on trajectory recovery techniques, that allow us to reconstruct the actual stroke information necessary for online recognition. To this end we develop a novel recognition process especially designed to deal with whiteboards by prudently extracting information from colour images. To evaluate our methods we use an online recogniser for the recognition task, which is specifically trained for recognition of maths symbols. We present our experiments with varying quality and sources of images. In particular, we have used our approach successfully in a set of experiments using Google Glass for capturing images from whiteboards, in which we achieve highest accuracies of 88.03% and 84.54% for segmentation and recognition of mathematical symbols respectively

Virtual Heritage

Virtual heritage has been explained as virtual reality applied to cultural heritage, but this definition only scratches the surface of the fascinating applications, tools and challenges of this fast-changing interdisciplinary field. This book provides an accessible but concise edited coverage of the main topics, tools and issues in virtual heritage. Leading international scholars have provided chapters to explain current issues in accuracy and precision; challenges in adopting advanced animation techniques; shows how archaeological learning can be developed in Minecraft; they propose mixed reality is conceptual rather than just technical; they explore how useful Linked Open Data can be for art history; explain how accessible photogrammetry can be but also ethical and practical issues for applying at scale; provide insight into how to provide interaction in museums involving the wider public; and describe issues in evaluating virtual heritage projects not often addressed even in scholarly papers. The book will be of particular interest to students and scholars in museum studies, digital archaeology, heritage studies, architectural history and modelling, virtual environments

Virtual Heritage

Virtual heritage has been explained as virtual reality applied to cultural heritage, but this definition only scratches the surface of the fascinating applications, tools and challenges of this fast-changing interdisciplinary field. This book provides an accessible but concise edited coverage of the main topics, tools and issues in virtual heritage. Leading international scholars have provided chapters to explain current issues in accuracy and precision; challenges in adopting advanced animation techniques; shows how archaeological learning can be developed in Minecraft; they propose mixed reality is conceptual rather than just technical; they explore how useful Linked Open Data can be for art history; explain how accessible photogrammetry can be but also ethical and practical issues for applying at scale; provide insight into how to provide interaction in museums involving the wider public; and describe issues in evaluating virtual heritage projects not often addressed even in scholarly papers. The book will be of particular interest to students and scholars in museum studies, digital archaeology, heritage studies, architectural history and modelling, virtual environments