Image analysis – Image segmentation – Distinguishing text from other regions
Reexamination Certificate
2000-03-14
2002-10-22
Tran, Phuoc (Department: 2721)
Image analysis
Image segmentation
Distinguishing text from other regions
C382S174000, C382S171000, C382S270000, C382S273000
Reexamination Certificate
active
06470094
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Technical Field of the Invention
The present invention relates generally to localization and/or segmentation of text in images.
2. Background Art
Existing work on text recognition has focused primarily on optical recognition of characters (called optical character recognition (OCR)) in printed and handwritten documents in answer to the great demand and market for document readers for office automation systems. These systems have attained a high degree of maturity. Further text recognition work can be found in industrial applications, most of which focus on a very narrow application field. An example is the automatic recognition of car license plates.
Proposals have been made regarding text detection in and text extraction from complex images and video. However, as can be seen from reading their descriptions, they are each non-general in some aspect. Further, some do not involve removal of the localized text from its background.
Accordingly, a need for a generalized approach of text localization and segmentation remains.
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International Search Report, WO 01/69529 A3, published Feb. 7, 2002.
Lienhart Rainer Wolfgang
Wernicke Axel
Aldous Alan K.
Tran Phuoc
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