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Text Localization in Born-Digital Images of Advertisements

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

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Siegmund, Dirk and Wainakh, Aidmar and Ebert, Tina and Braun, Andreas and Kuijper, Arjan
Title: Text Localization in Born-Digital Images of Advertisements
Language: English
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.

Title of Book: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Series Name: Lecture Notes in Computer Science (LNCS)
Volume: 10657
Place of Publication: Cham
Publisher: Springer
Uncontrolled Keywords: Patter recognition, Computer vision
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: Iberoamerican Conference on Pattern Recognition (CIARP)
Event Location: Valparaíso, Chile
Event Dates: 2017
Date Deposited: 10 Jul 2019 08:50
DOI: 10.1007/978-3-319-75193-1_75
Official URL: https://doi.org/10.1007/978-3-319-75193-1_75
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