Scene text dataset in Turkish

Scene text localization and recognition keeps attracting an increasing interest from researchers due to its valuable advantage in extracting content from real world images and in image retrieval via text search. Nevertheless, due to the fact that the majority of the image datasets that are commonly...

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Bibliographic Details
Published in2017 25th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Author Erdogmus, Nesli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
dataset
detection
Dogs
Nanoelectromechanical systems
Optical character recognition software
Reactive power
recognition
scene text
Text recognition
Turkish
Viterbi algorithm
Online AccessGet full text
DOI10.1109/SIU.2017.7960663

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Summary:Scene text localization and recognition keeps attracting an increasing interest from researchers due to its valuable advantage in extracting content from real world images and in image retrieval via text search. Nevertheless, due to the fact that the majority of the image datasets that are commonly used in this field is comprised of text in English, the related studies have mostly been limited to a single language. On that account, in order to apply the technologies developed for scene text detection and recognition to Turkish scene text, analyze their performances and to develop Turkish language specific algorithms, a Turkish scene text database is collected for the first time in the literature. In this paper, the contents of this database, shortly called STRIT (Scene Text Recognition In Turkish), are detailed. Additionally, two baseline methods are tested to detect and recognize scene text in Turkish and the preliminary results are presented.
DOI:10.1109/SIU.2017.7960663