Seminar by Mr. S. Srihari
Computer Processing of Handwriting in Documents
Mr. S. Srihari
State University of New York
Buffalo, USA
Date: Mon, Dec 19, 2005
Time: 1100
Venue: CS 101 Abstract:
Handwriting is a natural means of recording personal information, in addition to being a communication medium. Although computer recognition of handwriting seems to be a solved problem with the ubiquity of PDAswhere writing is on specialized surfaces (called dynamic handwriting)recognition of handwriting on paper (or static handwriting) poses numerous challenges. The talk will describe a number of recent advances that have been made in specific domains such as postal address recognition, signature/writer verification and automatic grading of school essays. A system for searching handwritten document repositories and extracting writer information will be demonstrated.
About the Speaker:
Mr. Sargur (Hari) Srihari is a SUNY Distinguished Professor at the University at Buffalo, the State University of New York (SUNY), in the Department of Computer Science and Engineering where he teaches courses in machine learning and pattern recognition. He is the founding director of the Center of Excellence for Document Analysis and Recognition (CEDAR)whose work on handwritten address interpretation led to systems now being deployed by several postal services of the world. More recently he has been involved in the development of information processing models for questioned document examination. Mr. Srihari is a Fellow of the Institution of Electrical and Electronics Engineers (IEEE) and a Fellow of the International Association of Pattern Recognition (IAPR). He is on the Board of Scientific Counselors of the National Library of Medicine, and Technical Advisory Boards of two companies. He received a BE in Electrical Communication Engineering from the Indian Institute of Science, Bangalore, and an M.S and PhD in Computer and Information Science from The Ohio State University, Columbus. He received a Distinguished Alumnus Award by The Ohio State University College of Engineering in 1999 and a best paper award at the International Conference on Document Analysis and Recognition in 2003.