报告人：加拿大皇家科学院院士 Ching Y. Suen教授
报告题目：Methods of Achieving Error-free Handwriting Recognition
报告时间：2016年10月17日 上午10：00
报告地点：新光电大楼一楼演讲厅
报告简介：
Abstract:
Pattern recognition has been investigated by researchers for more than 50 year and they have made considerable progress. But for some applications, such as financial documents, ID numbers, account numbers, mail sorting, cursive scripts,etc. the error rate remains too high for practical applications. This prevents the widespread automation of handwriting recognition algorithms in document analysis and processing. At CENPARMI, we have conducted extensive research on this topic in different languages, e.g. data collection, thinning methodologies, feature detection and analysis, multiple classifiers, human factors, and psychological studies on English, French, Chinese, and Arabic. This talk summarizes the efforts involved, achievements, experimental studies, and our new directions aiming to minimize the error rates so that we can apply recognition technologies to process the huge volume of real-world documents, and as a model to achieve error-free systems in the recognition of other types of patterns.
Biography
Dr. Ching Y. Suen is the Director of CENPARMI and the Concordia Honorary Chair on AI & Pattern Recognition. He received his Ph.D.degree from UBC (Vancouver) and his Master's degree from the University of Hong Kong. He has served as the Chairman of the Department of Computer Science and as the Associate Dean (Research) of the Faculty of Engineering and Computer Science of Concordia University.
He is a fellow of the IEEE (since 1986), IAPR (1994), and the Academy of Sciences of the Royal Society of Canada (1995). Currently, he is the Editor-in-Chief of the journal of Pattern Recognition, an Adviser or Associate Editor of 6 journals, and Editor of a new book series on Language Processing and Pattern Recognition.
Prof. Suen has served at numerous national and international professional societies as President, Vice-President, Governor, and Director. He has given 45 invited/keynote and 260 regular papers at conferences and 200 invited talks at various industries and academic institutions around the world. He has been the Principal Investigator or Consultant of 30 industrial projects. His research projects have been funded by the ENCS Faculty and the Distinguished Chair Programs at Concordia University, FCAR (Quebec), NSERC (Canada), the National Networks of Centres of Excellence (Canada), the Canadian Foundation for Innovation, and the industrial sectors in various countries, including Canada, France, Japan, Italy, and the United States.
Dr. Suen has published 5 conference proceedings, 14 books and more than 500 papers, and many of them have been widely cited while the ideas in others have been applied in practical environments involving handwriting recognition, thinning methodologies, font analysis and multiple classifiers. Dr. Suen is the recipient of numerous awards, including the Gold Medal from the University of Bari (Italy 2012), the IAPR ICDAR Award (2005), the ITAC/NSERC national award (1993), and the "Concordia Lifetime Research Achievement" and "Concordia Fellow" award (2008 and 1998 respectively), and the "Teaching Excellence Award" given by the Concordia Council of Student Life in 1995.
Prof. Suen has supervised 110 doctoral and master's students to completion, and guided/hosted 90 long-term visiting scientists and professors. He is not only the founder of three conferences: ICDAR, IWFHR/ICFHR, and VI, but has also organized numerous international conferences including ICPR, ICDAR, ICFHR, ICCPOL, and as Honorary Chair of numerous international conferences. In 1997, he created the IAPR ICDAR Awards, to honour both young and established outstanding researchers in the field of Document Analysis and Recognition.
He has always been fascinated by letters and characters, ever since he started his doctoral research on teaching the computer to read multifont documents with a voice output for the blind.