A NOVEL LASER SPECKLE IDENTIFICATION SYSTEM FOR AUTHENTICITY VERIFICATION USING FREQUENT PATTERN MECHANISM

Abstract

Abstract: - Numerous research have proposed laser speckle as a high-entropy source of unexpected bits for use in security applications. Bit strings made from speckle can be used for a multitude of security purposes, including tamper protection, random variety generation, secure key storage, identification, authentication, and anti-counterfeiting. Given the chaotic nature of laser speckle, it makes sense to use it as a source of random keys. An optical device speckle identification method for confirming trustworthiness is proposed in this work. Laser speckle offers diagnosable features for authentication because of the unique state surfaces of things. To extract the features of optical device speckle pictures, a Gabor filter, SIFT (Scale-Invariant Feature Transform), and projection were used. The modified K-means algorithm was used to arrange the retrieved Gabor features into an indexing structure in order to speed up the matching process. Next, DLT (Direction Lower Triangular) representations are created by modeling the unique relationships between the matching locations. A useful association rule is then produced by the common Pattern Growth (FP-Growth) algorithm, which mines common patterns in order to identify the similarities between each speckle image for the purpose of confirming believability. Because the hardware of the speckle collecting system was designed and the target objects were part of the planned system, plastic cards were employed. The experimental findings demonstrated that, once the information comprises 516 optical device speckle pictures, the anticipated methodology's retrieval performance is accurate. The proposed approach is strong and allows for the verification of authenticity.