Robust laser speckle recognition system for authenticity identification

Chia Hung Yeh*, Po Yi Sung, Chih Hung Kuo, Ruey Nan Yeh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)24382-24393
Number of pages12
JournalOptics Express
Volume20
Issue number22
DOIs
Publication statusPublished - 2012 Oct 22
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Robust laser speckle recognition system for authenticity identification'. Together they form a unique fingerprint.

Cite this