Design and Comparison of Image Hashing Methods: A Case Study on Cork Stopper Unique Identification

Cork stoppers were shown to have unique characteristics that allow their use for authentication purposes in an anti-counterfeiting effort. This authentication process relies on the comparison between a user's cork image and all registered cork images in the database of genuine items. With the g...

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Published inJournal of imaging Vol. 7; no. 3; p. 48
Main Authors Fitas, Ricardo, Rocha, Bernardo, Costa, Valter, Sousa, Armando
Format Journal Article
LanguageEnglish
Published Switzerland MDPI 08.03.2021
MDPI AG
Subjects
anti-counterfeiting
cork stoppers
Discrete Cosine Transform
hashing
image processing
perceptual hash
image processing
anti-counterfeiting
Discrete Cosine Transform
hashing
Radon transform
difference hash
cork stoppers
perceptual hash
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Abstract Cork stoppers were shown to have unique characteristics that allow their use for authentication purposes in an anti-counterfeiting effort. This authentication process relies on the comparison between a user's cork image and all registered cork images in the database of genuine items. With the growth of the database, this one-to-many comparison method becomes lengthier and therefore usefulness decreases. To tackle this problem, the present work designs and compares hashing-assisted image matching methods that can be used in cork stopper authentication. The analyzed approaches are the discrete cosine transform, wavelet transform, Radon transform, and other methods such as difference hash and average hash. The most successful approach uses a 1024-bit hash length and difference hash method providing a 98% accuracy rate. By transforming the image matching into a hash matching problem, the approach presented becomes almost 40 times faster when compared to the literature.
AbstractList Cork stoppers were shown to have unique characteristics that allow their use for authentication purposes in an anti-counterfeiting effort. This authentication process relies on the comparison between a user's cork image and all registered cork images in the database of genuine items. With the growth of the database, this one-to-many comparison method becomes lengthier and therefore usefulness decreases. To tackle this problem, the present work designs and compares hashing-assisted image matching methods that can be used in cork stopper authentication. The analyzed approaches are the discrete cosine transform, wavelet transform, Radon transform, and other methods such as difference hash and average hash. The most successful approach uses a 1024-bit hash length and difference hash method providing a 98% accuracy rate. By transforming the image matching into a hash matching problem, the approach presented becomes almost 40 times faster when compared to the literature.
Author Costa, Valter
Rocha, Bernardo
Sousa, Armando
Fitas, Ricardo
AuthorAffiliation 4 INESC TEC—INESC Technology and Science (formerly INESC Porto), 4200-465 Porto, Portugal
2 INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal
1 Department of Mechanical Engineering, FEUP—Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal; rfitas99@gmail.com (R.F.); santosrocha.bernardo@gmail.com (B.R.)
3 Department of Electrical and Computer Engineering, FEUP—Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
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Issue 3
Keywords image processing
anti-counterfeiting
Discrete Cosine Transform
hashing
Radon transform
difference hash
cork stoppers
perceptual hash
Language English
License Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Current address: Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal.
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Snippet Cork stoppers were shown to have unique characteristics that allow their use for authentication purposes in an anti-counterfeiting effort. This authentication...
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StartPage 48
SubjectTerms anti-counterfeiting
cork stoppers
Discrete Cosine Transform
hashing
image processing
perceptual hash
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Title Design and Comparison of Image Hashing Methods: A Case Study on Cork Stopper Unique Identification
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