Text Extraction from Web Images Based on Human Perception and Fuzzy Inference


Antonacopoulos, Apostolos and Karatzas, Dimosthenis (2001) Text Extraction from Web Images Based on Human Perception and Fuzzy Inference At First International Workshop on Web Document Analysis (WDA2001), United States. , pp. 35-38.

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Description/Abstract

There is a significant need to extract and recognise the semantically-important text contained in images on Web pages. This paper proposes a new approach to text extraction from this special class of images. The method attempts to emulate closer than before the way humans perceive colour differences in order to differentiate between text and background regions. Pixels of similar colour (as humans see it) are merged into components and a fuzzy inference mechanism (using connectivity and colour distance features) is devised to group components into larger character-like regions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: September 2001
Venue - Dates: First International Workshop on Web Document Analysis (WDA2001), United States, 2001-09-01
Related URLs:
Organisations: Electronics & Computer Science
ePrint ID: 263510
Date :
Date Event
2001Published
Date Deposited: 19 Feb 2007
Last Modified: 17 Apr 2017 19:52
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/263510

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