Biometric-Like Approach for Verifying Artworks Authenticity
- Lorenzo Cozzella
- Giuseppe Schirripa Spagnolo
- Fabio Leccese
Abstract
The artwork market is plenty of unauthorized reproduction of original products. One of the most varies filed is the counterfeiting of Authenticity Certificate related to paints, lithography, sculptures, etc., with the aim to create an illegal market of reproduced copies. To resolve this problematic, it is possible change the current paper certificate, related to a single artwork, with a digital version, which will contain some specific information, related to the artwork itself. In this paper, starting with the well-known advantages given by the biometry paradigm in human authentication, we propose a method able to distinguish the single “non-living” objects. In other words, we propose an approach that, by using the random inimitably characteristics, is able to uniquely identify artworks such as painting, lithographs, sculptures, etc. In this way it could be possible creating a secure digital certificate of authenticity (digital COA). Due to the high density information available in modern acquisition media, it is possible using a Speckle Metrology approach. During verification phase, the same area has to be acquired, to extract embedded verification data. It is possible to secure this data using a private key, necessary for accepting the digital signature. The presence of possible geometrical distortions between image present in the certificate and acquired during the verification phase, it is necessary applying geometrical corrections based on affine transformation, before executing the correlation methodologies, used in speckle metrology.
- Full Text: PDF
- DOI:10.5539/apr.v5n6p118
Journal Metrics
Google-based Impact Factor (2017): 3.90
h-index (November 2017): 17
i10-index (November 2017): 33
h5-index (November 2017): 12
h5-median (November 2017): 19
Index
- Bibliography and Index of Geology
- Civil Engineering Abstracts
- CNKI Scholar
- CrossRef
- EBSCOhost
- Excellence in Research for Australia (ERA)
- Google Scholar
- Infotrieve
- LOCKSS
- NewJour
- Open J-Gate
- PKP Open Archives Harvester
- SHERPA/RoMEO
- Standard Periodical Directory
- Ulrich's
- Universe Digital Library
- WorldCat
Contact
- William ChenEditorial Assistant
- apr@ccsenet.org