Data Retrieval from Printed Image Using Image Features and Data Embedding

Conference proceedings article

Authors/Editors

KOSIN CHAMNONGTHAI

Strategic Research Themes

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Publication Details

Author list: Nishikawa T., Muneyasu M., Nishida Y., Yoshida S., Chamnongthai K.

Publisher: Hindawi

Publication year: 2019

ISBN: 9781728130385

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081092608&doi=10.1109%2fISPACS48206.2019.8986285&partnerID=40&md5=6de409463960e8fa4d9f2a5a5136b8d6

Languages: English-Great Britain (EN-GB)

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Abstract

Data retrieval methods from printed images have recently been proposed. However, these methods have problems in terms of data capacity and flexibility. We propose a method of solving these problems using image recognition based on image features and a data-embedding method in the frequency domain. This makes it possible to include different information in the same image and greatly increase the amount of information that can be acquired. In the experiment, we show the effectiveness of the proposed method. ฉ 2019 IEEE.

Keywords

AKAZE, data-embedding, DCT, Image recognition, printed image