Double Separation Method for Translation of the Infrared Information into a Visible Area
Double Separation Method for Translation of the Infrared Information into a Visible Area
Author(s): Ivana Žiljak, Klaudio Pap, Vilko ŽiljakSubject(s): ICT Information and Communications Technologies
Published by: Fakultet organizacije i informatike, Sveučilište u Zagrebu
Keywords: Security Graphics; Infrared Colours; Colour Separation;
Summary/Abstract: Information visualization refers to the wavelength area ranging from 400 to 700 nm. Areas in lower wavelengths ranging from 100 to 400 nm are translated into the visual area with the goal to protect information visible only by applying instruments adapted for the ultraviolet area. Our recent research work refers to the infrared wavelength areas above the visible specter up to 1000 nm. The scientific contribution of this paper is in setting the double separation method for printing with CMYK printing inks with the goal to detect graphic information in the infrared area only. An algorithm has been created for making visual basics in the overall visible specter containing material that responds in the infrared section. This allows planning of areas in all coloring types for one and the same document that contains a secure piece of information. The system is based on double transition transformation of the visible RGB1 information recognition into CMYK2 in the same document. Secure information is recognized with the help of instruments in the set wavelength range. Most of the experiments have been carried out by analyzing the same set of RGB records. Each sample in the set was a test unit coming from another source containing different IR3 components. Thus an innovative method of color mixing has been set where colors appear respectively in daylight and separately according to IR light programming. New IR cryptography is proposed as shown in the experimental work.
Journal: Journal of Information and Organizational Sciences
- Issue Year: 33/2009
- Issue No: 1
- Page Range: 219-225
- Page Count: 7
- Language: English