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

Record type: Conference or Workshop Item (Paper)

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.

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Citation

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.

More information

Published date: 2001
Additional Information: Event Dates: September 2001
Venue - Dates: First International Workshop on Web Document Analysis (WDA2001), United States, 2001-09-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 263510
URI: http://eprints.soton.ac.uk/id/eprint/263510
PURE UUID: 631c80f4-ab8d-48cf-83fc-abacceed7a77

Catalogue record

Date deposited: 19 Feb 2007
Last modified: 18 Jul 2017 07:45

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Contributors

Author: Apostolos Antonacopoulos
Author: Dimosthenis Karatzas

University divisions


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