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Proceedings Paper

Visible and NIR spectral band combination to produce high security ID tags for automatic identification
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Paper Abstract

Verification of a piece of information and/or authentication of a given object or person are common operations carried out by automatic security systems that can be applied, for instance, to control the entrance to restricted areas, access to public buildings, identification of cardholders, etc. Vulnerability of such security systems may depend on the ease of counterfeiting the information used as a piece of identification for verification and authentication. To protect data against tampering, the signature that identifies an object is usually encrypted to avoid an easy recognition at human sight and an easy reproduction using conventional devices for imaging or scanning. To make counterfeiting even more difficult, we propose to combine data from visible and near infrared (NIR) spectral bands. By doing this, neither the visible content nor the NIR data by theirselves are sufficient to allow the signature recognition and thus, the identification of a given object. Only the appropriate combination of both signals permits a satisfactory authentication. In addition, the resulting signature is encrypted following a fully-phase encryption technique and the obtained complex-amplitude distribution is encoded on an ID tag. Spatial multiplexing of the encrypted signature allows us to build a distortion-invariant ID tag, so that remote authentication can be achieved even if the tag is captured under rotation or at different distances. We also explore the possibility of using partial information of the encrypted signature to simplify the ID tag design.

Paper Details

Date Published: 29 September 2006
PDF: 12 pages
Proc. SPIE 6394, Unmanned/Unattended Sensors and Sensor Networks III, 63940I (29 September 2006); doi: 10.1117/12.689871
Show Author Affiliations
Elisabet Pérez-Cabré, Technical Univ. of Catalonia (Spain)
María S. Millán, Technical Univ. of Catalonia (Spain)
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 6394:
Unmanned/Unattended Sensors and Sensor Networks III
Edward M. Carapezza, Editor(s)

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