ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions

Acronym: OffRaSHME (Offline Recognition and Spotting of Handwritten Mathematical Expressions)

Organizers

It is worth noting that most of the organizers of this proposed competition have created datasets that are useful for the ICFHR and ICDAR research communities, and have successfully organized competitions on handwriting recognition.

Da-Han Wang is an Associate Professor at the School of Computer and Information Engineering, Xiamen University of Technology, Fujian, China, and the Director of the Fujian Key Laboratory of Pattern Recognition and Image Understanding. He received the B.S. degree in Automation Science and Electrical Engineering from Beihang University, Beijing, China, in 2006, the PhD degree in pattern recognition and intelligent systems at the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2012. He was a postdoctoral fellow at the School of Informatics, Xiamen University from August 2012 to December 2014. His research interests include text detection and recognition, handwritten Chinese text recognition, table detection and recognition, and mathematical expression recognition. 

Fei Yin is an Associate Professor at the National Laboratory of Pattern Recognition(NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China. He received the B.S. degree in Computer Science from Xidian University of Posts and Telecommunications, Xi'an, China, the M.E. degree in Pattern Recognition and Intelligent Systems from Huazhong University of Science and Technology, Wuhan, China, the Ph.D. degree in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 1999, 2002 and 2010, respectively. His research interests include document.

Jin-Wen Wu earned his B.Eng. degree in Automation from University of Science and Technology Beijing, China, in 2016. He is currently a Ph.D. candidate of University of Chinese Academy of Sciences/Institute of Automation of Chinese Academy of Sciences. His current research area is handwriting mathematical expression recognition and deep structural learning.

Yu-Pei Yan is an engineer at the Fujian Key Laboratory of Pattern Recognition and Image Understanding, Fujian, China. He received the B.S. degree in computer science and technology from the School of Computer and Information Engineering, Xiamen University of Technology, Fujian, China, in 2018.

Zhi-Cai Huang received the B.S. from Fujian Normal University, China, in 2016. the M.S. degree from the Xiamen University of Technology, China, in 2019. Currently, he is a engineer in Fujian Key Laboratory of Pattern Recognition and Image Understanding, Fujian, China. His research interests include natural language processing, visual question answering and scene text information extraction.

Gui-Yun Chen received the B.S. degree in software engineering from the School of Computer and Information Engineering, Xiamen University of Technology, Fujian, China, in 2019. Currently,she works in Fujian Key Laboratory of Pattern Recognition and Image Understanding, Fujian, China.

Yao Wang is a sophomore, majoring in big data technology and data science in Xiamen University of Technology, Fujian, China.

Cheng-lin Liu is a Professor at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences, Beijing, China, and is now the director of the laboratory. He received the B.S. degree in electronic engineering from Wuhan University, Wuhan, China, the M.E. degree in electronic engineering from Beijing Polytechnic University, Beijing, China, the Ph.D. degree in pattern recognition and intelligent control from the Chinese Academy of Sciences, Beijing, China, in 1989, 1992 and 1995, respectively. He was a postdoctoral fellow at Korea Advanced Institute of Science and Technology (KAIST) and later at Tokyo University of Agriculture and Technology from March 1996 to March 1999. From 1999 to 2004, he was a research staff member and later a senior researcher at the Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan. His research interests include pattern recognition, image processing, neural networks, machine learning, and especially the applications to character recognition and document analysis. He has published over 200 technical papers at prestigious international journals and conferences. He won the IAPR/ICDAR Young Investigator Award of 2005. He serves on the editorial board of Pattern Recognition Journal, Image and Vision and Computing, International Journal on Document Analysis and Recognition, and Cognitive Computation. He is a fellow of the IAPR and the IEEE.