Sargur Srihari

Sargur Narasimhamurthy Srihari is an Indian-American computer scientist and educator who has made contributions to the field of pattern recognition. The principal impact of his work has been in handwritten address reading systems and in computer forensics. He is a SUNY Distinguished Professor in the School of Engineering and Applied Sciences at the University at Buffalo, Buffalo, New York, USA.

In this Indian name, the name Narasimhamurthy is a patronymic, and the person should be referred to by the given name, Srihari.
Sargur Narasimhamurthy Srihari
Sargur N. Srihari
Born
Bangalore, Karnataka
Alma materBangalore University
Indian Institute of Science, Bangalore
The Ohio State University, Columbus
Known forPattern Recognition, Machine Learning, Handwriting Recognition, Computational forensics
AwardsIEEE Fellow
IAPR Fellow
IETE Fellow
Scientific career
FieldsComputer Science and Engineering
Pattern Recognition
Machine Learning
Doctoral advisorLee J. White
Doctoral studentsRobin Li (masters)

Early life and education
Method used for exploiting contextual information in the first handwritten address interpretation system developed by Sargur Srihari and Jonathan Hull

Srihari received undergraduate degrees in Science and in Electrical Communication Engineering from the National College of Bangalore University and the Indian Institute of Science in Bangalore respectively. He received Master's and Doctoral degrees in Computer and Information Science from The Ohio State University, Columbus.

Career

Srihari is the founding director of Center of Excellence for Document Analysis and Recognition (CEDAR) which was established with support from the United States Postal Service. Work at CEDAR led to the first handwritten address interpretation system in the world,[1] versions of which were deployed by the Internal Revenue Service, USPS, Australia Post and UK Royal Mail. His subsequent work led to the first handwriting verification and identification system known as CEDAR-FOX, which was granted a U.S. Patent in 2009. Srihari's work on the individuality of handwriting has been cited in Daubert standard and Frye standard hearings in United States courts leading to the admission of handwriting evidence in those cases. Srihari served on the National Academy of Sciences Committee on Identifying the needs of the Forensic Science Community which led to a highly influential report entitled "Strengthening Forensic Science in the United States: A Path Forward" published in April 2009. He has also served on the Board of Scientific Counselors of the National Library of Medicine for six years. Srihari has had a leading role in establishing the international conferences on document analysis and recognition, frontiers of handwriting recognition and computational forensics. Srihari is the recipient of the Outstanding Achievements Award of IAPR/ICDAR for 2011.[2]

Awards

Srihari became an IEEE Fellow in 1995 and an IARP Fellow in 1996.

References
  1. S. N. Srihari and E. J. Keubert, "Integration of handwritten address interpretation technology into the United States Postal Service Remote Computer Reader System" Proc. Int. Conf. Document Analysis and Recognition (ICDAR) 1997, IEEE-CS Press, pp. 892-896
  2. IAPR/ICDAR Awards
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