A Method for Webtoon Image Fingerprint Generation Utilizing Frequency Domain Features 


Vol. 43,  No. 12, pp. 2014-2021, Dec.  2018
10.7840/kics.2018.43.12.2014


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  Abstract

Along with the increase in the online content market, piracy damage caused by illegal copying and distribution is increasing. In order to protect the copyright of Webtoon which is a cartoon that is distributed online, there is a need for a technique for confirming the identification information of the unauthorized Webtoon image. Since the existing Webtoon identification algorithm is very vulnerable to image distortion, identification accuracy is very low and computational complexity is large. In this paper, we identify Webtoons by using the ROI(Region of Interest) extraction and the low-frequency fingerprinting method which is robust to distortions. The desirable accuracy is achieved for commercialized system and the proposed method is expected to protect the copyright of Webtoon.

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  Cite this article

[IEEE Style]

D. Kim, H. Park, B. Kwon, H. Kwon, S. Lee, "A Method for Webtoon Image Fingerprint Generation Utilizing Frequency Domain Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 2014-2021, 2018. DOI: 10.7840/kics.2018.43.12.2014.

[ACM Style]

Doyoung Kim, Hyunwoo Park, Beom Kwon, Hyuck-Joo Kwon, and Sanghoon Lee. 2018. A Method for Webtoon Image Fingerprint Generation Utilizing Frequency Domain Features. The Journal of Korean Institute of Communications and Information Sciences, 43, 12, (2018), 2014-2021. DOI: 10.7840/kics.2018.43.12.2014.

[KICS Style]

Doyoung Kim, Hyunwoo Park, Beom Kwon, Hyuck-Joo Kwon, Sanghoon Lee, "A Method for Webtoon Image Fingerprint Generation Utilizing Frequency Domain Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 2014-2021, 12. 2018. (https://doi.org/10.7840/kics.2018.43.12.2014)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880