5. Conclusion
Represented article illustrated the examples of efficient implementation of distortion-invariant composite correlation filters in optical-electronic scanner of security holograms surface. Two OES basic units performance is based on recognition of images captured by its own image acquisition cameras. CCF application in Aiming Channel processing algorithms allowed to provide the mapping of Control Head using rough images of SH design elements with 1mm precision. Implementation of CCF methods for Control Head shift-invariant processing of surface local elements coherent diffraction responses allowed to provide the identification of holograms with about 0.5-5% of error probability
Automatic inspection of security hologram (SH) identity is highly demanded issue due high distributioon of SH worldwide to protect documents such as passports, driving licenses, banknotes etc. While most of the known approachhes use inspection of SH design features none of these approaches inspect the features of its surface relief that is a direct contributioon to original master matrix used for these holograms production. In our previous works we represented the device that was deveeloped to provide SH identification by processing of coherent responses of its surface elements. Most of the algorithms used in thiss device are based on application of correlation pattern recognition methods. The main issue of the present article is a descriptioon of these methods application specificities.
MEPhI (Moscow Engineering PPhysics Institute). Peer-review under responsibility of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) Keywords: security holograms; automatic identification; optical-electronic scanner; distortion invariant pattern recognition..