Researchers, including Ramesh Raskar from Massachusetts Institute of Technology (MIT) in the US, tested a prototype of the system on a stack of papers, each with one letter printed on it. The system was able to correctly identify the letters on the top nine sheets.
"The Metropolitan Museum in New York showed a lot of interest in this, because they want to, for example, look into some antique books that they don't even want to touch," said Barmak Heshmat, a research scientist at MIT.
The researchers from MIT and Georgia Institute of Technology (Georgia Tech) in the US developed the algorithms that acquire images from individual sheets in stacks of paper, and interprets the often distorted or incomplete images as individual letters.
"A lot of websites have these letter certifications (captchas) to make sure you're not a robot, and this algorithm can get through a lot of them," said Heshmat.
The system uses terahertz radiation, the band of electromagnetic radiation between microwaves and infrared light, which has several advantages over other types of waves that can penetrate surfaces, such as X-rays or sound waves.
The system exploits the fact that between the pages of a book tiny air pockets are trapped about 20 micrometres deep.
The difference in refractive index - the degree to which they bend light - between the air and the paper means that the boundary between the two will reflect terahertz radiation back to a detector.
In the new system, a standard terahertz camera emits ultrashort bursts of radiation, and the camera's built-in sensor detects their reflections.
At the moment, the algorithm can correctly deduce the distance from the camera to the top 20 pages in a stack, but past a depth of nine pages, the energy of the reflected signal is so low that the differences between frequency signatures are swamped by noise.
Terahertz imaging is still a relatively young technology, however, and researchers are constantly working to improve both the accuracy of detectors and the power of the radiation sources, so deeper penetration should be possible, researchers said.
Disclaimer: No Business Standard Journalist was involved in creation of this content
