Journal of South China University of Technology(Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (12): 1-6.

• Electronics, Communication & Automation Technology •     Next Articles

Fast Source Camera Identification Based on Sign Information of Components of Pattern Noise

Hu Yong-jian  Lai Zhi-mao  Liu Bei-bei   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2011-05-18 Revised:2011-07-01 Online:2011-12-25 Published:2011-11-04
  • Contact: 胡永健(1962-) ，男，教授，博士生导师，主要从事多媒体信息安全、图像处理以及模式识别等的研究． E-mail:eeyjhu@scut.edu.cn
  • About author:胡永健(1962-) ，男，教授，博士生导师，主要从事多媒体信息安全、图像处理以及模式识别等的研究．
  • Supported by:

    国家自然科学基金资助项目( 60772115)

PDF

954

Abstract:

In the existing source camera identification methods based on the PRNU ( Photo Response Non-Uniformity) pattern noise of sensors,brute-force search schemes,namely exhaustive schemes,are commonly employed,which may result in low identification efficiency when there exist many long camera fingerprints. In order to solve this problem,a fast source camera identification algorithm is proposed based on the sign information of the components of pattern noise. In this method,compact camera fingerprints are constructed by using the large-magnitude components of pattern noise,and a separate-chaining Hash table is employed to store the information of reference fingerprints. Then,candidate reference fingerprints are permuted based on the number of the components with the same sign between the test and the reference fingerprints. According to the order of reference fingerprints,the correlation detection can be successfully implemented. Experimental results show that the proposed method greatly
lightens the computational burden.

Key words: source camera identification, camera fingerprint, correlation detection, fast search, separate-chaining Hash table