Image analysis – Pattern recognition
Reexamination Certificate
2008-01-29
2008-01-29
Mariam, Daniel (Department: 2624)
Image analysis
Pattern recognition
C382S203000
Reexamination Certificate
active
07324691
ABSTRACT:
A system and method for shape recognition of hand-drawn objects is provided. A shape recognizer may recognize a drawing such as a diagram or chart from ink input by recognizing closed containers and/or unclosed connectors in the drawing. The closed containers may represent any number of shapes that may be recognized including circles, ellipses, triangles, quadrilaterals, pentagons, hexagons, and so forth. The unclosed connectors may be any type of connector including lines, curves, arrows, and so forth. Polylines may be used to approximate a skeleton of a connector for handling continuation strokes, overlapping strokes and over-tracing strokes of the skeleton. By using the present invention, a user may draw diagrams and flow charts freely and without restrictions on the hand-drawn input.
REFERENCES:
patent: 5038382 (1991-08-01), Lipscomb
patent: 5517578 (1996-05-01), Altman
patent: 5544265 (1996-08-01), Bozinovic et al.
patent: 5615283 (1997-03-01), Donchin
patent: 5864635 (1999-01-01), Zetts
patent: 6525749 (2003-02-01), Moran
patent: 7136082 (2006-11-01), Saund
patent: 7139004 (2006-11-01), Saund
patent: 2004/0090439 (2004-05-01), Dillner
patent: 2005/0063591 (2005-03-01), Chen
patent: 2005/0063594 (2005-03-01), Li
patent: 1331592 (2003-07-01), None
Apte, et al “Recognizing multistroke geometric shapes: an experimental evaluation”, Washington University, pp. 122-128, 1993.
Lank, et al “An interactive system for recognizing hand drawn UML diagrams”, ACM, pp. 1-15, 2000.
International Search Report in Corresponding EP Application No. EP 04019840.0-2218.
Fonseca M J et al: “Experimental evaluation of an on-line scribble recognizer” Pattern Recognition Letters, North-Holland Publ. Amsterdam, NL, vol. 22, No. 12, Oct. 2001 -10) pp. 1311-1319, XP004296516 ISSN: 0167-8655.
Kojima H et al: “Online hand-drawn line-figure recognition and its application” Proceedings of the Internationl Conference on Pattern Recognition. (ICPR). Rome, Nov. 14-17, 1988, Washingtion, IEEE Comp. Soc. Press, US, vol. vol. 2 CONF. 9, Nov. 14, 1988, pp. 1138-1142, XP010014145 ISBN: 0-81878-1.
Galindo D et al: “Perceptually-based representation of network diagrams”: Proceedings of the 4thInternational Conference on Document Analysis and Recognition. (ICDAR), Los Alamitos, IEEE Comp. Soc, US, vol.vol. II, Aug. 18, 1997, pp. 352-356, XP:010244739 ISBN: 0-8186-7898-4.
Office Action mailed Jun. 13, 2007, cited in related application, U.S. Appl. No. 10/850,948.
Office Action mailed Jun. 28, 2007, cited in related application, U.S. Appl. No. 10/850,680.
Notice of Allowance mailed Aug. 10, 2007, cited in related application U.S. Appl. No. 10/850,948.
Notice of Allowance mailed Aug. 10, 2007, cited in related application U.S. Appl. No. 10/850,680.
Li Yantao
Lin Zhouchen
Wang Jian
Xu Xun
Mariam Daniel
Microsoft Corporation
Workman Nydegger
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