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首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Discriminating blue ballpoint pens inks in questioned documents by Raman imaging and mean-field approach independent component analysis (MF-ICA)
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Discriminating blue ballpoint pens inks in questioned documents by Raman imaging and mean-field approach independent component analysis (MF-ICA)

机译：通过拉曼成像和平均场方法独立分量分析（MF-ICA）鉴别质疑文献中的蓝色圆珠笔墨水

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摘要

In the present work, Raman spectroscopy and chemometrics tools were explored as an analytical method to discriminate blue pen strokes on common office paper and bank check paper. The sample set was constituted of blue ballpoint pen inks available on local market and promotional pens as well. The samples were prepared to simulate an adulterated document using different pens. The proposal methodology was based on Raman imaging spectroscopy and Independent Components Analysis algorithm, which were able to recover the original spectrum of each pen, as well as images containing special information about each of the pens used. All recovered spectra could be match with references spectra at least with 0.8572 of correlation coefficient, while recovered images left no doubt about whether a forgery occurred. At the end of analysis, all the examined cases could be solved based on the discrimination between the pens inks, without any prior information.
机译：在目前的工作中，探讨了拉曼光谱和化学计量工具作为鉴别公共办公纸和银行检查纸上的蓝笔书的分析方法。 样品集由当地市场上提供的蓝色圆珠笔墨水和促销笔。 制备样品以模拟使用不同的钢笔的掺假文件。 该提案方法基于拉曼成像光谱和独立分量分析算法，该算法能够恢复每支笔的原始谱，以及包含关于所用钢笔的特殊信息的图像。 所有恢复的光谱都可以与引用光谱匹配，至少在0.8572的相关系数中匹配，而恢复的图像毫无疑问是伪造的是否发生。 在分析结束时，所有检查的案例都可以根据PENS墨水之间的歧视来解决，而无需任何先前的信息。

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