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2014 | OriginalPaper | Buchkapitel

Sign Detection Based Text Localization in Mobile Device Captured Scene Images

verfasst von : Jing Zhang, Rangachar Kasturi

Erschienen in: Camera-Based Document Analysis and Recognition

Verlag: Springer International Publishing

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Abstract

Sign text is one of the most seen text types appearing in scene images. In this paper, we present a new sign text localization method for scene images captured by mobile device. The candidate characters are first localized by detecting closed boundaries in the image. Then, based on the properties of signboard, the convex regions that contain enough candidate characters are extracted and marked as sign regions. After removing the false positives using the proposed layer analysis, the candidate characters inside the detected sign regions are yielded as sign text. A sign text database with 241 images captured by a mobile device was used to evaluate our method. The experimental results demonstrate the validity of the proposed method.

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Nächstes Kapitel Font Distribution Observation by Network-Based Analysis

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Titel: Sign Detection Based Text Localization in Mobile Device Captured Scene Images
verfasst von: Jing Zhang
Rangachar Kasturi
Verlag: Springer International Publishing
Buch: Camera-Based Document Analysis and Recognition
Print ISBN: 978-3-319-05166-6

Electronic ISBN: 978-3-319-05167-3

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-05167-3_6

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