Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sashi Raghupathy"'
Publikováno v:
ICFHR
This paper presents a context aware, online immediate-mode diagramming recognition and beautification software for hand-sketched diagrams. The system is independent of stroke-order, -number, -direction and is invariant to scaling, translation and rot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::254513a52487d059498c34e3317dadee
https://doi.org/10.1109/icfhr.2010.124
https://doi.org/10.1109/icfhr.2010.124
Autor:
Sashi Raghupathy, Xin Wang
Publikováno v:
ICDAR
The analysis, especially the anchoring, of free-form ink annotations on mixed-content digital documents is more difficult than that of documents containing only text. In this paper, first, we present our work on analyzing the common user scenarios of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14e2a5cde05d202e39221d94865a4f6
https://doi.org/10.1109/icdar.2007.4378696
https://doi.org/10.1109/icdar.2007.4378696
Publikováno v:
ICDAR
This paper proposes a machine learning approach to grouping problems in ink parsing. Starting from an initial segmentation, hypotheses are generated by perturbing local configurations and processed in a high-confidence-first fashion, where the confid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5723729155c1d7d3e714c0e69971e8
https://doi.org/10.1109/icdar.2007.4378670
https://doi.org/10.1109/icdar.2007.4378670
Publikováno v:
SBIM
Complicated by temporal correlations among the strokes and varying distributions of the underlying classes, the drawing/writing classification of ink strokes in a digital ink file poses interesting challenges.In this paper, we present our efforts in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::387255f8497c96a3e9055ea621f01c55
https://doi.org/10.1145/1384429.1384458
https://doi.org/10.1145/1384429.1384458
Publikováno v:
ICDAR
Handwritten text lines are prominent structures in freeform digital ink notes and their reliable detection is the foundation to a natural and intelligent interface for note editing and repurposing. This paper presents an optimization method for text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbca5582a0cef9dfdc4a9ee893046ec4
https://doi.org/10.1109/icdar.2005.121
https://doi.org/10.1109/icdar.2005.121
Publikováno v:
ICDAR
This paper presents an integrated approach to parsing textual structure in freeform handwritten notes. Text-graphics classification and text layout analysis are classical problems in printed document analysis, but the irregularity in handwriting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4fe537e82673506aba2b901d85969d4
https://doi.org/10.1109/icdar.2003.1227628
https://doi.org/10.1109/icdar.2003.1227628
Publikováno v:
Seventh International Conference on Document Analysis & Recognition Proceedings, 2003; 2003, p60-60, 1p