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    题名: Robust laser speckle authentication system through data mining techniques
    作者: 林智揚;Yeh, Chia-Hung;Lee, guanling;Lin, Chih-Yang
    贡献者: 工學院機械工程學系
    关键词: Adaptive optics;Algorithms;Association rules;Authentication;Data mining;Identification systems;Image processing;imaging systems;Lasers;Luminance;Matching;Optical imaging;optical security and encryption;Optical sensors;pattern recognition;Plastic cards;Plastics;Speckle
    日期: 2015-04-27
    上传时间: 2026-04-23 15:26:36 (UTC+8)
    出版者: IEEE Computer Society;Piscataway: IEEE
    摘要: 摘要: This paper proposes a speckle image recognition method using data mining techniques to ensure speckle identification system feasible for authentication. This is an interdisciplinary method that integrates the researches of optics, data mining, and image processing. Because objects have unique but imperfect surfaces, their laser speckle is capable of providing suitable identifiable features for authentication. In our method, matching points among speckle images acquired from one plastic card are extracted by scale-invariant feature transform (SIFT). The spatial relations among the matching points are then transformed to 9 direction lower triangular (9DLT) representations. Then, the Apriori algorithm mines frequent patterns so a useful association rule is obtained as the feature to identify the similarity between each of the speckle images for the purpose of authenticity verification. The proposed method is especially robust in the cases of card displacement and luminance change resulted from laser attenuation. Experimental results show that the proposed method has promising results and outperforms existing methods in identification accuracy.
    其他題名: TII
    出版者: Piscataway: IEEE
    出版日期: 2015-04-01
    出處: IEEE transactions on industrial informatics, 2015-04, Vol.11 (2), p.505-512
    資源來源: IEEE Electronic Library (IEL)
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2015
    識別號: ISSN: 1551-3203
    識別號: EISSN: 1941-0050
    識別號: DOI: 10.1109/TII.2015.2400411
    識別號: CODEN: ITIICH
    显示于类别:[機械工程學系] 期刊論文

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