• DocumentCode
    128655
  • Title

    Study on texture feature extraction from forensic images with watermark

  • Author

    Ying Liu ; Zong Li

  • Author_Institution
    Inst. of Image & Inf. Process., Xi´an Univ. of Posts & Telecommun., Xi´an, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1471
  • Lastpage
    1475
  • Abstract
    In order to protect the legitimacy and integrity of Criminal Scene Investigation image data, digital watermark can be embedded into the images, as evidence of identification of illegal infringement. This paper studies on texture feature extraction from forensic tyre tread patterns with watermark, in order for automatic tyre tread pattern retrieval. Intensive literature survey shows that this work is the first on feature extraction from forensic images with watermark. A new Tamura feature extraction algorithm is presented and compared with state-of-the-art texture feature extraction methods. Experimental results demonstrate the promising performance of the proposed algorithm in forensic tyre tread pattern image retrieval.
  • Keywords
    feature extraction; image forensics; image retrieval; image texture; image watermarking; Tamura feature extraction algorithm; automatic tyre tread pattern retrieval; criminal scene investigation image data; digital watermark; forensic images; forensic tyre tread pattern image retrieval; illegal infringement; texture feature extraction; Feature extraction; Forensics; Histograms; Image retrieval; Tires; Watermarking; Digital watermark; Image Retrieval; LSB algorithm; Statistical moments; Tamura feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931401
  • Filename
    6931401