Siegmund, Dirk ; Wainakh, Aidmar ; Ebert, Tina ; Braun, Andreas ; Kuijper, Arjan (2018):
Text Localization in Born-Digital Images of Advertisements.
In: Lecture Notes in Computer Science (LNCS), 10657, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 627-634,
Cham, Springer, Iberoamerican Conference on Pattern Recognition (CIARP), Valparaíso, Chile, 2017, ISSN 0302-9743,
DOI: 10.1007/978-3-319-75193-1_75,
[Conference or Workshop Item]

Abstract

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.

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