Journal: Text extractionfrom natural scene image - Asurvey

a b s t r a c t: With the increasing popularity of portable camera devices and embedded visual processing,text extraction from natural scene images has become a key problem that is deemed to change our everyday lives via novel applications such asaugment edreality.Text extraction from natural scene images algorithms is  generally composed of the following three stages:(i)detection and localization,(ii)text enha ncement and segmentation and(iii)optical character recognition(OCR).The problem is challenging in nature due to variations in the font size and color,text alignment,illumination change and reflections. This paper aims to classify and assess the latest algorithms.More specifically, wedrawattention to studies on the first two steps in the extraction process,since OCR is awell-studied area where powerful algorithms  already exist.This paper offers to the researchers a link to public image database for the algorithm  assessment of text extraction from natural scene images.

article info

Article history:

Received 10 January 2013

Received in revised form 29 March 2013

Accepted 30 May 2013

Communicated by Liang Wang

Available online 27 July 2013

Keywords:

Text extraction

Text detection and localization

Text enhancement and segmentation

Scene understanding

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Journal: Text extractionfrom natural scene image :Asurvey