Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2007-01-16
2007-01-16
Desire, Gregory (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S156000, C382S224000, C706S020000
Reexamination Certificate
active
10225198
ABSTRACT:
Methods and systems of the present invention may be used to recognize digital image data arranged in rows and columns. Exemplary embodiments may include a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, a feature compressor for compressing the extracted feature information, and a neural network for classifying the digital image data from the compressed, extracted feature information.
REFERENCES:
patent: 5497430 (1996-03-01), Sadovnik et al.
patent: 5577135 (1996-11-01), Grajski et al.
patent: 5832183 (1998-11-01), Shinohara et al.
patent: 6275611 (2001-08-01), Parthasarathy
patent: 6363162 (2002-03-01), Moed et al.
patent: 6574613 (2003-06-01), Moreno-Barragan
patent: 6650779 (2003-11-01), Vachtesvanos et al.
patent: 7020334 (2006-03-01), Li et al.
patent: 2004/0037464 (2004-02-01), Shi et al.
patent: 896295 (1999-02-01), None
IEEE Transactions on Circuits and Systems, “CNN Cloning Template: Connected Component Detector,” Matsumoto et al., vol. 37, No. 5, pp. 633-635, May 1990.
Li Guoxing
Shi Bingxue
Desire Gregory
Finnegan Henderson Farabow Garrett & Dunner L.L.P.
Winbond Electronics Corp.
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