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Text localization in born-digital images of advertisements

: Siegmund, Dirk; Wainakh, Aidmar; Ebert, Tina; Braun, Andreas; Kuijper, Arjan


Mendoza, Marcelo (Ed.):
Progress in pattern recognition, image analysis, computer vision, and spplications. 22nd Iberoamerican Congress, CIARP 2017 : Valparaíso, Chile, November 7-10, 2017, Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 10657)
ISBN: 978-3-319-75192-4 (Print)
ISBN: 978-3-319-75193-1 (Online)
ISBN: 3-319-75192-1
Iberoamerican Congress on Pattern Recognition (CIARP) <22, 2017, Valparaíso/Chile>
Fraunhofer IGD ()
pattern recognition; Guiding Theme: Digitized Work; Research Area: Computer vision (CV)

Localizing text in images is an important step in a number of applications and fundamental for optical character recognition. While born-digital text localization might look similar to other complex tasks in this field, it has certain distinct characteristics. Our novel approach combines individual strengths of the commonly used methods: stroke width transform and extremal regions and combines them with a method based on edge-based morphologically growing. We present a parameterfree method with high flexibility to varying text sizes and colorful image elements. We evaluate our method on a novel image database of different retail prospects, containing textual product information. Our results show a higher f-score than competitive methods on that particular task.