Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2006-03-07
2006-03-07
Miriam, Daniel (Department: 2625)
Image analysis
Pattern recognition
Feature extraction
C382S190000
Reexamination Certificate
active
07010166
ABSTRACT:
A character recognition system and method implement a classification system according to which each character of a set of characters is identifiable at least partially on the basis of a set of character feature types indicative of the identity of the character, the set of character feature types including (i) bars; (ii) lakes and (iii) bays. A character image is algorithmically scanned in each direction of a predetermined set of scan directions in order to extract data relating to bars, lakes and/or bays. A feature vector is assembled based on the algorithmically extracted data and rendered accessible to character recognition apparatus. The character recognition apparatus is adapted to recognize a character corresponding to an assembled feature vector at least partially on the basis of the quantity of each of (i) bars; (ii) lakes and (iii) bays indicated in the feature vector and to provide an output identifying the recognized character.
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Ayshi Mohammed Abu
Kimmel M. Jay
Simmons Diane C.
Franco Louis J.
Hogan Patrick M.
Lockheed Martin Corporation
Miriam Daniel
Schultz Leland D.
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