Paper Info
Title
Content-based webtoon fingerprint method.
Abstract
This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.
Year
Venue
Field
2016
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Frequency domain,Computer vision,Histogram,Pattern recognition,Fingerprint recognition,Computer science,Transform coding,Feature extraction,Fingerprint,Artificial intelligence,Thresholding,Jpeg compression
DocType
ISSN
Citations 
Conference
2309-9402
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Do Young Kim1228.74
Sanghoon Lee 0001215818.40
Sagar Vasant Jadhav300.34
Sanghoon Lee474097.47