We describe a new approach in object identification using a frequency-prepared signal, allowing integration of spectral landmarks into an object’s substructure. These are durable against damage or occlusion, and useful for text acquisition on curved surfaces and 3D digitization, This method transforms object supports into robust, readable message containers for security applications like anti-tampering and anti-diversion protocols.