TITLE:
Simple and Efficient Text Localization for Compressed Image in Mobile Phone
AUTHORS:
Jung Hyoun Kim, Adrián Canedo-Rodríguez, Jung Hee Kim, John Kelly
KEYWORDS:
Text Localization, Discrete Cosine Transform, Text Extraction, Text Detection
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.5 No.4,
November
26,
2014
ABSTRACT: Extraction of the text
data present in images involves Text detection, Text localization, Text
tracking, Text extraction, Text Enhancement and Text Recognition. Due to its
inherent complexity, traditional text localization algorithms in natural
scenes, especially in multi-context scenes, are not implementable under low
computational resources architectures such as mobile phones. In this paper, we
proposed a simple method to automatically localize signboard texts within JPEG
mobile phone camera images. Taking into account the information provided by the
Discrete Cosine Transform (DCT) used by the JPEG compression format, we delimitate
the borders of the most importanttext
region. This system is simple, reliable, affordable, easily implementable, and
quick evenworking under
architectures with low computational resources.