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DESCRIPTION:We present an overview of two decades of innovation in handwrit
 ing recognition at the Govindaraju lab at the University at Buffalo and of
 fer a perspective on the evolution of research in this area and the future
  of the field. We highlight our seminal work in handwriting recognition th
 at was at the core of the first handwritten address interpretation system 
 used by the U.S. Postal Service\, described as one of the first practical 
 success stories of AI We journey through the HWR landscape\, from lexicon-
 based to lexicon-free approaches\, and from heuristics-driven techniques t
 o the principal methodologies that we introduced. We explore a sample of t
 he variety of impactful applications that resulted from our research\, fro
 m the processing of healthcare forms for the NYS Department of Health for 
 deriving early indicators of outbreaks\, to access to historical documents
  through word spotting\, transcript mapping\, and other indexing schemes f
 or digital libraries\, to award-winning pre-processing techniques and mult
 ilingual OCR solutions for automated machine translation for armed forces 
 in the theater. We introduce the novel concept of accents in handwriting a
 nd our pioneering use of handwritten CAPTCHAs to enhance security. We end 
 with a look at some of the challenging problems that we are working on in 
 the digital humanities space and new ideas to explore such as the potentia
 l use of whiteboard recognition technologies in the flipped classroom sett
 ing.\n\nSpeaker(s): Prof Govindaraju\, \n\nVirtual: https://events.vtools.
 ieee.org/m/324475
LOCATION:Virtual: https://events.vtools.ieee.org/m/324475
ORGANIZER:ztaqvi@gmail.com
SEQUENCE:1
SUMMARY:IEEE-DAY\, " Handwriting Recognition: A Perspective on Two Decades 
 of Innovations"\, GBS BIOMETRIC AND SYSTEMS WEEK\, WEBINAR #2 of 4
URL;VALUE=URI:https://events.vtools.ieee.org/m/324475
X-ALT-DESC:Description: <br /><p>We present an overview of two decades of i
 nnovation in handwriting recognition at the Govindaraju lab at the Univers
 ity at Buffalo and offer a perspective on the evolution of research in thi
 s area and the future of the field.&nbsp\; We highlight our seminal work i
 n handwriting recognition that was at the core of the first handwritten ad
 dress interpretation system used by the U.S. Postal Service\, described as
  one of the first practical success stories of AI We journey through the H
 WR landscape\, from lexicon-based to lexicon-free approaches\, and from he
 uristics-driven techniques to the principal methodologies that we introduc
 ed. &nbsp\;We explore a sample of the variety of impactful applications th
 at resulted from our research\, from the processing of healthcare forms fo
 r the NYS Department of Health for deriving early indicators of outbreaks\
 , to access to historical documents through word spotting\, transcript map
 ping\, and other indexing schemes for digital libraries\, to award-winning
  pre-processing techniques and multilingual OCR solutions for automated ma
 chine translation for armed forces in the theater. &nbsp\;We introduce the
  novel concept of accents in handwriting and our pioneering use of handwri
 tten CAPTCHAs to enhance security.&nbsp\; We end with a look at some of th
 e challenging problems that we are working on in the digital humanities sp
 ace and new ideas to explore such as the potential use of whiteboard recog
 nition technologies in the flipped classroom setting.&nbsp\;</p>
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