On the Fusion of Text Detection Results: A Genetic Programming Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Flores-Campana:2020:ACC,

• author = "Jose L. {Flores Campana} and Allan Pinto and Manuel Alberto {Cordova Neira} and Luis Gustavo {Lorgus Decker} and Andreza Santos and Jhonatas S. Conceicao and Ricardo {Da Silva Torres}",
• journal = "IEEE Access",
• title = "On the Fusion of Text Detection Results: A Genetic Programming Approach",
• year = "2020",
• volume = "8",
• pages = "81257--81270",
• keywords = "genetic algorithms, genetic programming, Scene text detection, multi-oriented text, convolutional neural network, data fusion",
• DOI = "doi:10.1109/ACCESS.2020.2987869",
• ISSN = "2169-3536",
• size = "14 pages",
• abstract = "Hundreds of text detection methods have been proposed, motivated by their widespread use in several applications. Despite the huge progress in the area, which includes even the use of sophisticated learning schemes, ad-hoc post-processing procedures are often employed to improve the text detection rate, by removing both false positives and negatives. Another issue refers to the lack of the use of the complementary views provided by different text detection methods. This paper aims to fill these gaps. We propose the use of a soft computing framework, based on genetic programming (GP), to guide the definition of suitable post-processing procedures through the combination of basic operators, which may be applied to improve detection results provided by multiple methods at the same time. Performed experiments in the widely used ICDAR 2011, ICDAR 2013, and ICDAR 2015 datasets demonstrate that our GP-based approach leads to F1 effectiveness gains up to 5.1 percentage points, when compared to several baselines.",
• notes = "Also known as \cite{9066990}",

}

Genetic Programming entries for Jose L Flores Campana Allan Pinto Manuel Alberto Cordova Neira Luis Gustavo Lorgus Decker Andreza Aparecida dos Santos Jhonatas S Conceicao Ricardo da Silva Torres

Citations