Siegmund, Dirk ; Wainakh, Aidmar ; Ebert, Tina ; Braun, Andreas ; Kuijper, Arjan (2018)
Text Localization in Born-Digital Images of Advertisements.
Iberoamerican Conference on Pattern Recognition (CIARP). Valparaíso, Chile (07.11.2018-10.11.2018)
doi: 10.1007/978-3-319-75193-1_75
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Siegmund, Dirk ; Wainakh, Aidmar ; Ebert, Tina ; Braun, Andreas ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Text Localization in Born-Digital Images of Advertisements |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Ort: | Cham |
| Verlag: | Springer |
| Buchtitel: | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |
| Reihe: | Lecture Notes in Computer Science (LNCS) |
| Band einer Reihe: | 10657 |
| Veranstaltungstitel: | Iberoamerican Conference on Pattern Recognition (CIARP) |
| Veranstaltungsort: | Valparaíso, Chile |
| Veranstaltungsdatum: | 07.11.2018-10.11.2018 |
| DOI: | 10.1007/978-3-319-75193-1_75 |
| URL / URN: | https://doi.org/10.1007/978-3-319-75193-1_75 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Patter recognition, Computer vision |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 10 Jul 2019 08:50 |
| Letzte Änderung: | 05 Jul 2024 06:31 |
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