Detection of counterfeit holograms using hyperspectral imaging

Arvind Mukundan; Yu-Ming Tsao; Hsiang-Chen Wang

doi:10.1117/12.2688978

27 November 2023 Detection of counterfeit holograms using hyperspectral imaging

Arvind Mukundan, Yu-Ming Tsao, Hsiang-Chen Wang

Proceedings Volume 12768, Holography, Diffractive Optics, and Applications XIII; 127680C (2023) https://doi.org/10.1117/12.2688978
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

Distinguishing an authentic hologram from a replicated one presents a notable obstacle, chiefly attributable to the factor of reflectivity. A hologram's reflection pattern can undergo a significant transformation due to even a minor variation in lighting conditions. As a result, the creation of a standardized duplicate hologram detection device has proven to be difficult to achieve. The present study proposes a new methodology for distinguishing between genuine and replicated holograms. This is achieved through the utilization of a portable and economical housing module that employs snapshot hyperspectral imaging (HSI) algorithm. The proposed module comprises a Raspberry Pi 4 processor, a Raspberry Pi camera, a display, and a light-emitting diode lighting system equipped with a dimmer. By employing a visible HSI algorithm, the RGB image captured by the Raspberry Pi camera can be converted into a hyperspectral image. Following this, a particular area of focus is designated within the spectral image, and assessments are conducted to determine the average gray value (MGV) and reflectivity. The experimental results indicate that shorter wavelengths are most suitable for differentiating holograms when utilizing MGV as the classification parameter. On the other hand, the utilization of reflectivity for discrimination is more efficient with longer wavelengths. The distinctive attributes of this design encompass its affordability, simplicity, absence of moving parts and the absence of a requirement for an additional decoding key. Subsequent research endeavors may delve into additional improvements and modifications aimed at maximizing the efficiency of the housing module and broadening its scope of potential implementations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Arvind Mukundan, Yu-Ming Tsao, and Hsiang-Chen Wang "Detection of counterfeit holograms using hyperspectral imaging", Proc. SPIE 12768, Holography, Diffractive Optics, and Applications XIII, 127680C (27 November 2023); https://doi.org/10.1117/12.2688978

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KEYWORDS

Holograms

Cameras

Reflection

Hyperspectral imaging

Light emitting diodes

Reflectivity

RGB color model

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