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Shi C.,University of Science and Technology Beijing | Xiao J.,University of Science and Technology Beijing | Jia W.,University of Science and Technology Beijing | Xu C.,University of Science and Technology Beijing | Xu C.,Founder Lab
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

A framework is proposed in this paper to effectively generate a new hybrid character type by means of integrating local contour feature of Chinese calligraphy with structural feature of font in computer system. To explore traditional art manifestation of calligraphy, multi-directional spatial filter is applied for local contour feature extraction. Then the contour of character image is divided into sub-images. The sub-images in the identical position from various characters are estimated by Gaussian distribution. According to its probability distribution, the dilation operator and erosion operator are designed to adjust the boundary of font image. And then new Chinese character images are generated which possess both contour feature of artistical calligraphy and elaborate structural feature of font. Experimental results demonstrate the new characters are visually acceptable, and the proposed framework is an effective and efficient strategy to automatically generate the new hybrid character of calligraphy and font. © 2013 SPIE-IS&T.

Founder Lab | Entity website

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Founder Lab | Entity website

F14 The first Founder Lab, dubbed the Master Graduate EIR Program, was an intensive, invite-only Silicon Valley Emergence Program reserved for top Founder Institute Graduates from across the globe. Some highlighted companies are below:

Fang J.,Beijing Institute of Technology | Tao X.,Beijing Institute of Technology | Tang Z.,Beijing Institute of Technology | Qiu R.,Beijing Institute of Technology | And 2 more authors.
Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 | Year: 2012

Table detection is an important task in the field of document analysis. It has been extensively studied since a couple of decades. Various kinds of document mediums are involved, from scanned images to web pages, from plain texts to PDF files. Numerous algorithms published bring up a challenging issue: how to evaluate algorithms in different context. Currently, most work on table detection conducts experiments on their in-house dataset. Even the few sources of online datasets are targeted at image documents only. Moreover, Precision and recall measurement are usual practice in order to account performance based on human evaluation. In this paper, we provide a dataset that is representative, large and most importantly, publicly available. The compatible format of the ground truth makes evaluation independent of document medium. We also propose a set of new measures, implement them, and open the source code. Finally, three existing table detection algorithms are evaluated to demonstrate the reliability of the dataset and metrics. © 2012 IEEE.

Xu C.,University of Science and Technology Beijing | Xu C.,Founder Lab | Tang Z.,University of Science and Technology Beijing | Tang Z.,Founder Lab | And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

Converting the PDF books to re-flowable format has recently attracted various interests in the area of e-book reading. Robust graphic segmentation is highly desired for increasing the practicability of PDF converters. To cope with various layouts, a multi-layer concept is introduced to segment graphic composites including photographic images, drawings with text insets or surrounded with text elements. Both image based analysis and inherent digital born document advantages are exploited in this multi-layer based layout analysis method. By combining low-level page elements clustering applied on PDF documents and connected component analysis on synthetically generated PNG image document, graphic composites can be segmented for PDF documents with complex layouts. The experimental results on graphic composite segmentation of PDF document pages have shown satisfactory performance. © 2013 SPIE-IS&T.

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