Andrej Ikica and Peter Peer (2011) An improved edge profile based method for text detection in images of natural scenes. In: Eurocon 2011, 27.-29. april 2011, Lizbona, Portugalska.
This is the latest version of this item.
Text detection in natural images has gained much attention in the last years as it is a primary step towards fully autonomous text recognition. Understanding the visual text content is of a vital importance in many applicative areas from the internet search engines to the PDA signboard translators. Images of natural scenes, however, pose numerous difficulties compared to the traditional scanned documents. They mainly contain diverse complex text of different sizes, styles and colors with complex backgrounds. Furthermore, such images are captured under variable lighting conditions and are often affected by the skew distortion and perspective projections. In this article an improved edge profile based text detection method is presented. It uses a set of heuristic rules to eliminate detection of non-text areas. The method is evaluated on CVL OCR DB, an annotated image database of text in natural scenes.
|Item Type: ||Conference or Workshop Item (Poster)|
|Keywords: ||text detection, natural scenes, edge profiles, computer vision|
|Related URLs: |
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Computer Vision Laboratory|
|Item ID: ||1674|
|Date Deposited: ||23 Apr 2012 16:50|
|Last Modified: ||09 Dec 2013 10:23|
Available Versions of this Item.
Actions (login required)