The Mechanisms of Human Recognition as a Guideline For Security Feature Development
Johannes Schaede und Volker Lohweg,Security features for automated processing and / or forensic identification of bank notes have proven to reliably recognize and select counterfeit bank notes in circulation. As a result of this development the decisive first line of defense is the public, where either the criminal fraternities or opportunity counterfeiters try to place their antisocial products. Therefore those security features, which fit into the range of subconscious recognition and habitual knowledge, are those of major importance in application and development. This paper tries to answer some questions how the human recognition, its well-developed functionality and how these through evolution-acquired capabilities may considerably influence the improvement of public security features in bank notes.
author | = | {Schaede, Johannes and Lohweg, Volker}, |
title | = | {The Mechanisms of Human Recognition as a Guideline For Security Feature Development}, |
booktitle | = | {IST/SPIE 18th Annual Symposium on Electronic Imaging - Optical Security and Counterfeit Deterrence Techniques VI - Vol 6075}, |
year | = | {2006}, |
editor | = | {Rundolf van Renesse}, |
volume | = | {}, |
series | = | {}, |
pages | = | {1-12}, |
address | = | {}, |
month | = | {Feb}, |
organisation | = | {}, |
publisher | = | {SPIE}, |
note | = | {}, |