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作 者:Jung Hyoun Kim Adrián Canedo-Rodríguez Jung Hee Kim John Kelly
机构地区:[1]College of Engineering, North Carolina A&T State University, Greensboro, USA [2]Research Centre on Information Technology, University of Santiago de Compostela, Santiago de Compostela, Spain
出 处:《Journal of Signal and Information Processing》2014年第4期208-228,共21页信号与信息处理(英文)
摘 要: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 important?text region. This system is simple, reliable, affordable, easily implementable, and quick even?working under architectures with low computational resources.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 important?text region. This system is simple, reliable, affordable, easily implementable, and quick even?working under architectures with low computational resources.
关 键 词:TEXT LOCALIZATION DISCRETE COSINE TRANSFORM TEXT Extraction TEXT Detection
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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