Research on handwriting

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Research projects on transcribing historical documents


TranScriptorium aims to develop innovative, efficient and cost-effective solutions for the indexing,
search and full transcription of historical handwritten document images, using modern, holistic
Handwritten Text Recognition (HTR) technology.

Links to scholarly articles

"What's Lost as Handwriting Fades" New York Times, June 3, 2014. [1]

Marria Ronnikkova, Stanislas Dehaene [2], Karin James [3]

Links to scientific articles, abstracts, and sites

Writer identification – clustering letters with unknown authors, 2015 [4]
Joanna Putz-Leszczynska [5]
See: C´eline R´emi, Lionel Pr´evost, Eric Anquetil. Drawing, Handwriting Processing Analysis: New
Advances and Challenges:Proceedings of the 17th Biennial Conference of the International
Graphonomics Society. 17th Biennial Conference of the International Graphonomics Society,
Jun 2015, Pointe-`a-Pitre, Guadeloupe. 2015, 979-10-95177-01-2. <hal-01166509>

Bridging the gap between handwriting recognition and knowledge management [6]
Marcus Liwicki [7], Sebastian Ebert [8], Andreas Dengel [9]

Ontology based New Approach for Character Recognition [10]
Aicha Eutamene, Hacene Belhadef, M. K. Kholladi

Recognition Techniques for Whiteboard Notes Written in Roman Script, 397-414. In C H Chen; : Handbook of Pattern Recognition and Computer Vision, 2010 [11]
Marcus Liwicki [12], Horst Bunke [13]

Augmented Handwritings by Data-Embedding Pen, 213-215. In Proceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010), 2010 [14]
Akira Yoshida, Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise