System of using neural network to distinguish text and...

Details System of using neural network to distinguish text and... System of using neural network to distinguish text and...

2004-06-17

2008-10-14

Bella, Matthew C. (Department: 2624)

Image analysis

Learning systems

Neural networks

C382S176000, C382S157000, C382S177000, C382S173000

Reexamination Certificate

active

07436994

ABSTRACT:
This specification discloses a system of using a neural network to distinguish text and pictures in an image and the method thereof. Using the knowledge of text recognition learned by the neural network in advance, images data of color brightness and gray levels in an image block are processed to generate a greatest text faith value. The system determines the text status of the image block by comparing a text threshold with the greatest text faith value. If the greatest text faith value is larger than the text threshold, then the image block is determined to contain text pixels; otherwise, the image block contains purely picture pixels. This achieves the goal of separating text and pictures in an image.

REFERENCES:
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patent: 6301381 (2001-10-01), Hayashi
patent: 6327386 (2001-12-01), Mao et al.
patent: 6473522 (2002-10-01), Lienhart et al.
patent: 7079686 (2006-07-01), Ahmed et al.
patent: 7263227 (2007-08-01), Simard
patent: 2004/0240736 (2004-12-01), Karidi et al.
patent: 2005/0271277 (2005-12-01), Lin et al.

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