Image page search for arbitrary textual information

Details Image page search for arbitrary textual information Image page search for arbitrary textual information

2004-03-10

2009-08-11

Bella, Matthew C. (Department: 2624)

Image analysis

Pattern recognition

Template matching

C382S280000

Reexamination Certificate

active

07574050

ABSTRACT:
The approach of the present invention is called optical word recognition (OWR). The present invention advantageously uses techniques to search for arbitrary textual information contained in imaged documents. The result is a significant advance in high-speed search for textual information within imaged documents. The optical apparatus includes a generating unit for synthetically generating textual patterns as signal templates. The optical apparatus has a compensating unit for compensating, if necessary, for visual differences between the synthetically generated textual patterns and images being compared against the synthetically generated images. The optical apparatus has a comparing unit for comparing compensated images against images in a database.

REFERENCES:
patent: 3846752 (1974-11-01), Nakano et al.
patent: 3851308 (1974-11-01), Kawasaki et al.
patent: 4809340 (1989-02-01), Mersereau
patent: 4955060 (1990-09-01), Katsuki et al.
patent: 4989082 (1991-01-01), Hopkins
patent: 5159646 (1992-10-01), Kumagai
patent: 5311359 (1994-05-01), Lucas et al.
patent: 5317646 (1994-05-01), Snag, Jr. et al.
patent: 5321773 (1994-06-01), Kopec et al.
patent: 5394487 (1995-02-01), Burger et al.
patent: 5404411 (1995-04-01), Banton et al.
patent: 5530775 (1996-06-01), Avi-Itzhak
patent: 5568568 (1996-10-01), Takizawa et al.
patent: 5583950 (1996-12-01), Prokoski
patent: 5619596 (1997-04-01), Iwaki et al.
patent: 5668897 (1997-09-01), Stolfo
patent: 5671282 (1997-09-01), Wolff et al.
patent: 5719959 (1998-02-01), Krtolica
patent: 5745600 (1998-04-01), Chen et al.
patent: 5764809 (1998-06-01), Nomami et al.
patent: 5844991 (1998-12-01), Hochberg et al.
patent: 5854854 (1998-12-01), Cullen et al.
patent: 5883986 (1999-03-01), Kopec et al.
patent: 5912982 (1999-06-01), Munro et al.
patent: 5915034 (1999-06-01), Nakajima et al.
patent: 5960112 (1999-09-01), Lin et al.
patent: 6002807 (1999-12-01), Guerci
patent: 6023528 (2000-02-01), Froessl
patent: 6285802 (2001-09-01), Dennis et al.
patent: 6351660 (2002-02-01), Burke et al.
patent: 6470092 (2002-10-01), Li et al.
patent: 6549683 (2003-04-01), Bergeron et al.
patent: 6741743 (2004-05-01), Stalcup et al.
patent: 7227996 (2007-06-01), Imagawa et al.
patent: 2002/0113801 (2002-08-01), Reavy et al.
patent: 2003/0081813 (2003-05-01), Astle
patent: 2004/0190773 (2004-09-01), Messer et al.
patent: 2004/0218815 (2004-11-01), Iizuka
patent: WO 00/10118 (2000-02-01), None
Chalana V., et al., “Duplicate Document Detection in DocBrowse”, Proceedings of the SPIE, vol. 3305, Jan. 1998, pp. 169-178.
Cesarini F., et al., “INFORMYS: A Flexible Invoice-Like Form-Reader System”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE, vol. 20, No. 7, pp. 730-745, Jul. 1, 1998.
Levin, D., et al., “Application of the Discrete Wavelet Transform to Identification of Questioned Documents”, Proceedings of the IEEE, Oct. 1994, pp. 318-321.
Bruce W. Stalcup, “Indexing Multimedia Databases with Wavelet Packets”, Litton/PRC Center for Aplied Technology, Mar./Apr. 1997.
Dr. Chen Hwa, Wavelet—A New Enabling Technology for Multimedia DBMS Applications, Litton Applied Technology, Jan./Feb. 1997.
David Casasent, “General-Purpose Optical Pattern Recognition Image Processors”, IEEE, vol. 82, No. 11, Nov. 1994, pp. 1724-1734.

Affiliated with

Also associated with

Rating

Image page search for arbitrary textual information does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Image page search for arbitrary textual information, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image page search for arbitrary textual information will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4059468