University of Groningen
Beyond OCR: Handwritten manuscript attribute understanding
He, Sheng
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2017
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He, S. (2017). Beyond OCR: Handwritten manuscript attribute understanding. University of Groningen.
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Publications
Publications related to this thesis
Journal Papers
1. Sheng He, Marco Wiering, Lambert Schomaker (2015) “Junction detection in handwritten doc-uments and its application to writer identification”, Pattern Recognition (PR), Elsevier Science, Vol. 48, no. 12, pp. 4036-4048.
2. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker (2016) “Image-based historical manuscript dating using contour and stroke fragments”, Pattern Recognition (PR), Elsevier Science, Vol. 58, pp. 159-171.
3. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker (2016) “A multiple-label guided clustering algorithm for historical document dating and localization”, IEEE Transactions on Image Processing (T-IP), IEEE Signal Processing Society, Vol. 25, no. 11, pp. 5252-5265. 4. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker (2016) “Historical manuscript
dat-ing based on temporal pattern codebook”, Computer Vision and Image Understanddat-ing (CVIU), Elsevier Science, vol. 152, pp. 167-175.
5. Sheng He, Lambert Schomaker (2017) “Beyond OCR: multi-faceted understanding of hand-written document characteristics”, Pattern Recognition (PR), Elsevier Science, vol. 63, pp. 321-333.
6. Sheng He, Lambert Schomaker (2017) “Writer identification using curvature-free features”, Pattern Recognition (PR), Elsevier Science, vol. 63, pp. 451-464.
Conference Papers
1. Sheng He, Lambert Schomaker: “Delta-n Hinge: rotation-invariant features for writer identi-fication”, Proc. of 24th Int. Conf. on Pattern Recognition (ICPR2014), pp.2023-2028, 24-28 August, 2014, Stockholm, Sweden.
2. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker: “Towards style-based dating of historical documents.”, Proc. of 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR2014), pp.265-270, 1-4 September, 2014, Crete, Greece.
3. Sheng He, Lambert Schomaker: “A polar stroke descriptor for classification of historical docu-ments.”, Proc. of 13th IAPR Int. Conf. on Document Analysis and Recognition (ICDAR2015), pp. 6-10, 23-26 August, 2015, Nancy, Frence.
4. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker: “Historical document dating using unsupervised attribute learning.”, Proc. of 12th IAPR Int. Workshop on Document Analysis Systems (DAS2016), pp. 36-41, 11-14 April, 2016, Santorini, Greece
5. Sheng He, Lambert Schomaker: “General pattern run-length transform for writer identifica-tion.”, Proc. of 12th IAPR Int. Workshop on Document Analysis Systems (DAS), pp. 60-65, 11-14 April, 2016, Santorini, Greece
6. Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker: “Discovering visual element evo-lutions for historical document dating.”, Proc. of 15th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR2016), pp. 7-12, 22-26 October, 2016, Shenzhen, China.
7. Sheng He, Lambert Schomaker: “Co-occurrence features for writer identification.”, Proc. of 15th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR2016), pp. 78-83, 22-26 October, 2016, Shenzhen, China.
Other publications
1. Maruf A. Dhali, Sheng He, Mladen Popovic , Eibert Tigchelaar, Lambert Schomaker : “A Digital Palaeographic Approach towards Writer Identification in the Dead Sea Scrolls.”, Proc. of the 6th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM), 24-26, February, 2017, Porto, Portugal.
2. Junwei Han, Sheng He, Xiaoliang Qian, Dongyang Wang, Lei Guo, Tianming Liu (2013) “An Object-oriented Visual Saliency Detection Framework Based on Sparse Coding Representa-tions.”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Vol. 23, no. 12, pp. 2009-2021.
3. Sheng He, Junwei Han, Xintao Hu, Ming XU, Lei Guo, Tianming Liu: “Biologically Inspired Computational Model for Image Saliency Detection.”, Proc. of the 19th ACM Int. Conf. on Multimedia (ACMMM), pp. 1465-1468, 28 November - 01 December, 2011, Scottsdale, Ari-zona, USA.
