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VERSION:2.0
PRODID:Linklings LLC
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TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
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TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20260114T163648Z
LOCATION:Exhibition Hall 1\, Level 2 (Exhibition Centre)
DTSTART;TZID=Australia/Melbourne:20231213T110000
DTEND;TZID=Australia/Melbourne:20231213T173000
UID:siggraphasia_SIGGRAPH Asia 2023_sess202_pos_197@linklings.com
SUMMARY:Recognition-Independent Handwritten Text Alignment Using Lightweig
 ht Recurrent Neural Network
DESCRIPTION:Karina Korovai, Dmytro Zhelezniakov, and Olga Radyvonenko (Sam
 sung R&D Institute Ukraine); Oleg Yakovchuk (Samsung R&D Institute Ukraine
 , National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic
  Institute"); and Ivan Deriuga and Nataliya Sakhnenko (Samsung R&D Institu
 te Ukraine)\n\nA novel approach to improve handwriting legibility by strai
 ghtening the written content. It may be used for aligning text across diff
 erent languages and doesn't need prior handwriting recognition.\n\nRegistr
 ation Category: Full Access, Business & Innovation Symposium Access, Exhib
 it & Experience Access, Enhanced Access, Trade Exhibitor, Experience Hall 
 Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=pos_197&sess=sess202
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