Smartphone Sensors for Stone Lithography Authentication

Spagnolo, Giuseppe Schirripa; Cozzella, Lorenzo; Papalillo, Donato

doi:10.3390/s140508217

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…In this example, the two images are each 512 × 512 pixels. The POC was computed in the Fourier space by means of equation (22) and in the Hartley space by means of equation (27). The FFT POC and the FHT POC are very similar, virtually identical.…”

Section: Resultsmentioning

confidence: 99%

Phase correlation functions: FFT vs. FHT

2019

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The ability to process an image is a crucial skill in many measurement activities. In image processing or pattern recognition, Fast Fourier Transform (FFT) is widely used. In particular, the Phase Only Correlation (POC) method demonstrates high robustness and subpixel accuracy in pattern matching. However, there is a disadvantage in the required memory machine because of the calculation of 2D-FFT. In applications in which the use of memory is a critical element, Fast Hartley Transform (FHT) seems to be a good substitute. In this context, the use of Hartley’s transform can be of interest for apps implemented on portable systems e.g. smartphones. In this article, we present a comparison of the implementations of the phase correlation function using FFT and FHT. Particular attention is given to the analytical steps necessary to implement the POC by means of the Hartley transform.

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Section: Resultsmentioning

confidence: 99%

Phase correlation functions: FFT vs. FHT

2019

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“…This digital certificate links information on non-cloneable features of the specific artworks. In this way the inappropriate usage will not be possible and the buyer will be able to verify the originality by himself [5].…”

Section: Introductionmentioning

confidence: 99%

Painting authentication by means of a biometric-like approach

et al. 2015

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Artwork counterfeiting is a wide problem in the art market, both for private subject and museums. For this reason, it is important introducing innovative authentication solutions, based on state-of-the-art technologies. In particular, in this paper, the proposed solution is based on a mobile architecture, starting from the consideration that nowadays mobile phones include quality photo and video cameras, access to wireless networks and the internet, GPS assistance and other innovative systems. The proposed solution uses smartphones as simple, robust and efficient sensor for artworks authentication. When we buy an artwork object, the seller issues a certificate of authenticity, which contains specific details about the artwork itself. Unscrupulous sellers can duplicate the classic certificates of authenticity, and then use them to â€œauthenticateâ€ non-genuine works of art. In this way, the buyer will have a copy of an original certificate to attest that the â€œnot original artworkâ€ is an original one. A solution for this problem would be to insert a system that links together the certificate and the related specific artwork. To do this it is necessary, for a single artwork, to find unique, unrepeatable, and unchangeable characteristics. In this article we propose an innovative and not-invasive method for the authentication of artworks based on random intrinsic object characteristics. This approach is based on biometry paradigm (analogue fingerprinting). The paper present a stand-alone solution, and an internet-based one, necessary for granting security verification also in case of problem with the used RFID tag. The proposed method uses an RFID Tag and a 2D barcode, in conjunction with an Internet-based Authentication Archive.

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Smartphone-based diagnostics with coherent and infrared imaging for cultural heritage

Daffara,

Ambrosini

2024

J. Phys. Photonics

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Nondestructive optical techniques are crucial in heritage science for monitoring the condition of artworks in full field. Various imaging methods based on infrared and interferometry techniques have been proposed, but they often require specialized training and expensive equipment. This paper explores the emerging field of smartphone science and its potential to revolutionize artwork diagnostics, especially for cultural institutions with limited budgets. The smartphone science approach is divided into using the device “as is” or enhancing it with add-on sensors. After a concise overview of smartphone sensing in different fields, the paper demonstrates smartphone- based optical diagnostics on traditional wooden painting models, employing coherent techniques like laser speckle imaging and moir ́e fringe technique, and infrared techniques like reflectography and thermography. The comparison of obtained results with established instrumentation in the field clearly shows that smartphone-based diagnostics have the potential to greatly contribute to cultural heritage preservation and conservation, transforming the field’s accessibility and cost-effectiveness.

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Smartphone Sensors for Stone Lithography Authentication

Cited by 4 publications

References 27 publications

Phase correlation functions: FFT vs. FHT

Phase correlation functions: FFT vs. FHT

Painting authentication by means of a biometric-like approach

Smartphone-based diagnostics with coherent and infrared imaging for cultural heritage

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