Open AccessRobust laser speckle recognition system for authenticity identification
Author(s) -
Chia Hung Yeh,
Po Yi Sung,
Chih-Hung Kuo,
Ruey Nan Yeh
Publication year - 2012
Publication title -
optics express
Language(s) - Danish
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.024382
Subject(s) - speckle pattern , artificial intelligence , computer science , computer vision , gabor filter , speckle noise , laser , scale invariant feature transform , feature (linguistics) , pattern recognition (psychology) , biometrics , feature extraction , optics , physics , linguistics , philosophy
This paper proposes a laser speckle recognition system for authenticity verification. Because of the unique imperfection surfaces of objects, laser speckle provides identifiable features for authentication. A Gabor filter, SIFT (Scale-Invariant Feature Transform), and projection were used to extract the features of laser speckle images. To accelerate the matching process, the extracted Gabor features were organized into an indexing structure using the K-means algorithm. Plastic cards were used as the target objects in the proposed system and the hardware of the speckle capturing system was built. The experimental results showed that the retrieval performance of the proposed method is accurate when the database contains 516 laser speckle images. The proposed system is robust and feasible for authenticity verification.