利用散斑图的相关性识别纸张样本
Recognition of paper samples by correlation of their speckle patterns
摘要：
Buchanan等人[Nature 436，p.475（2005）]已经表明，通过使用线形激光焦点、四个光电检测器和扫描机构，可以经由纸样本的散斑图案来识别纸样本。在这份报告中，提出了十分之五的纸张样本的识别。用2.62 ± 0.02 mm的圆形光斑照射样品，用静态CCD测量反射光。我们已经制定了一个识别标准，将错误识别的概率限制在0.1%，用于十个样本的实验。我们得到的结果表明，错误识别的概率将是可以忽略不计的大量样本。散斑的性质起源于一条线和一个点照明源进行了比较，看看是否使用一条线的结果在识别样品的主要优势。
英文摘要：
Buchanan et al. [Nature 436, p. 475 (2005)] have shown that it is possible to recognize paper samples via their speckle pattern by using a line-shaped laser focus, four photo detectors and a scanning mechanism. In this report recognition of five out of ten paper samples is presented. The sample was illuminated by a 2.62 +- 0.02 mm circular spot and the reflected light was measured by a static CCD. We have formulated a criterion for recognition that limits the probability of false recognition to 0.1 % for the experiment with ten samples. We obtained results that show that the probability of false recognition will be negligible for a large amount of samples. The properties of speckle originating from a line and a spot illumination source have been compared to see whether the use of a line results in major advantages for the recognition of samples.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
