A Novel Multipurpose Snapshot Hyperspectral Imager used to Verify Security Hologram

A. Mukundan, Hsiang-Chen Wang, Y. Tsao
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引用次数: 3

Abstract

In this study, a Low-cost and portable module is built using a Raspberry Pi camera and microprocessor that captures the images of security holograms which are fed into the hyperspectral imaging algorithm that measures the reflectance to differentiate the counterfeit from the original hologram. Reflectivity is one of the difficulties in distinguishing a duplicate hologram from an authentic one. Due to the fact that a little change in lighting situation would entirely alter the hologram’s reflection pattern, a standardized detector for duplicate holograms has not yet been developed. In this work, hyperspectral imaging (HSI)-based housing module for distinguishing between authentic and counterfeit holograms was presented. The module included a Raspberry Pi 4 CPU, a Raspberry Pi camera, an LCD display, and an LED lighting system with a dimmer. A visible HSI algorithm capable of transforming a Raspberry Pi camera’s RGB picture into a hyperspectral image was developed. Mean gray value (MGV) and reflectivity measurements were performed on an area of interest (ROI) extracted from the spectral picture. Results indicated that shorter wavelengths are optimal for distinguishing holograms when using MGV as the classification criterion, but longer wavelengths are optimal when utilizing reflectivity. This design is distinguished by its cheap cost, simplicity, absence of moving components, and lack of need for an extra decoding key.
一种用于验证安全全息图的新型多用途快照高光谱成像仪
在这项研究中,使用树莓派相机和微处理器构建了一个低成本和便携式模块,该模块捕获安全全息图的图像,这些图像被输入到测量反射率的高光谱成像算法中,以区分伪造的全息图和原始的全息图。反射率是区分复制全息图和真实全息图的困难之一。由于光照条件的微小变化会完全改变全息图的反射模式,一种用于重复全息图的标准化检测器尚未开发出来。在这项工作中,提出了基于高光谱成像(HSI)的区分真伪全息图的外壳模块。该模块包括一个树莓派4 CPU、一个树莓派相机、一个LCD显示屏和一个带调光器的LED照明系统。开发了一种能够将树莓派相机的RGB图像转换为高光谱图像的可见HSI算法。对从光谱图像中提取的感兴趣区域(ROI)进行平均灰度值(MGV)和反射率测量。结果表明,当以MGV作为分类标准时,波长较短的全息图是最佳的,而当以反射率作为分类标准时,波长较长的全息图是最佳的。这种设计的特点是成本低廉,简单,没有移动组件,不需要额外的解码密钥。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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