报告人简介：
Prof. Ching Y. Suen is the Director of CENPARMI and the Concordia Chair on AI & Pattern Recognition. 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 and an Adviser or Associate Editor of 5 journals.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. Prof. Suen has served at numerous national and international professional societies as President, Vice-President, Governor, and Director. He has given 40 invited/keynote papers at conferences and 180 invited talks at various industries and academic institutions around the world. He has been the Principal Investigator or Consultant of 30 industrial projects. Dr. Suen has published 4 conference proceedings, 12 books and more than 480 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, 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).
报告摘要：This lecture will cover the history of my research and the activities of CENPARMI (Centre for Pattern Recognition and Machine Intelligence) at Concordia University in Canada. It will begin with my research on a computerized reading machine for the blind at UBC, followed by my current research on handwriting recognition, a new breed of hybrid classifiers, and recognition of handwritten numerals and words in different languages. Applications of pattern recognition techniques in practice will be reviewed. In addition, our new research on font analysis will also be presented, followed by its impact on human reading of texts presented in I-pads and cell phones, e-books, and its relation to reading distress and myopia.