TITLE: Handwriting Recognition Paradigms in Interpretation, Transcription and Search Applications

PRESENTER: Dr. Venu Govindaraju, http://www.cubs.buffalo.edu/govind/, govind@buffalo.edu

AFFILIATION:Computer Science and Engineering, University of Buffalo (SUNY Buffalo), http://www.cse.buffalo.edu/

DATE: Friday 9th November 2007

TIME: 12:00:00

PLACE: CSE Seminar Room, Level 1, K17

ABSTRACT:

Recognition of handwritten documents has been a success in
well-constrained domains, such as automatic recognition of handwritten
postal addresses and validating bank check amounts. However, unconstrained
offline handwriting recognition is still a very challenging task when
lexicon size is very large. Thus, the large amount of handwritten material
of the world, historical manuscripts and contemporary documents, are
still inaccessible by search engines. We will describe our seminal work
in real-time handwriting recognition which paved the way for the first
deployment of end-to-end handwritten address interpretation system.
We will also present loosely constrained applications such as indexing
and searching hand-filled forms and unconstrained handwritten documents.
We will conclude with an overview of our current research in
transcription mapping for historical manuscripts and using handwriting
for web security.

BIOGRAPHY OF SPEAKER:

Dr. Venu Govindaraju is a Professor of Computer Science and Engineering
at the University at Buffalo (SUNY Buffalo). He received his B-Tech
(Honors) from the Indian Institute of Technology (IIT), Kharagpur,
India in 1986, and his Ph.D. from UB in 1992.

In the area of document analysis, Dr. Govindaraju is currently working
on extending his expertise in the automated recognition of both
machine-printed and hand-written text in Latin script to Arabic and
Indic scripts with a focus on developing interfaces for indexing and
searching documents. In the area of biometrics he is currently
investigating the strength of various biometric modalities to resist
malicious attacks and provide solutions to mitigate some of the
vulnerabilities, as well as the fusion of multiple biometrics for
achieving higher accuracy.

Dr. Govindaraju is a Fellow of the IEEE (Institute of Electrical and
Electronics Engineers) and a Fellow of the IAPR (International Association
of Pattern Recognition).

Seminar information is also available at
http://www.cse.unsw.edu.au/db/ai/seminars/list/index.html

Host:

Arcot Sowmya

Seminar Convenor:

Van Hai Ho