• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Illumination-Robust Foreground Extraction for Text Area Detection in Outdoor Environment

Vol. 11, No. 1, January 29, 2017
10.3837/tiis.2017.01.018, Download Paper (Free):

Abstract

Optical Character Recognition (OCR) that has been a main research topic of computer vision and artificial intelligence now extend its applications to detection of text area from video or image contents taken by camera devices and retrieval of text information from the area. This paper aims to implement a binarization algorithm that removes user intervention and provides robust performance to outdoor lights by using TopHat algorithm and channel transformation technique. In this study, we particularly concentrate on text information of outdoor signboards and validate our proposed technique using those data.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
J. Lee, J. Park, C. Hong and Y. Seo, "Illumination-Robust Foreground Extraction for Text Area Detection in Outdoor Environment," KSII Transactions on Internet and Information Systems, vol. 11, no. 1, pp. 345-359, 2017. DOI: 10.3837/tiis.2017.01.018.

[ACM Style]
Jun Lee, Jeong-Sik Park, Chung-Pyo Hong, and Yong-Ho Seo. 2017. Illumination-Robust Foreground Extraction for Text Area Detection in Outdoor Environment. KSII Transactions on Internet and Information Systems, 11, 1, (2017), 345-359. DOI: 10.3837/tiis.2017.01.018.