0447054 20240103210529.020150908235959.9 84983665959 000363776200004 10.1007/978-3-319-19321-2_4 13 s. P cav_un_epca*0447053978-3-319-19321-20302-974347-59ChamSpringer2015 Image ballistics source camera verification pattern noise fingerprint performance laplace distribution cav_un_auth*0206076 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Mahdian Babak UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283562 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Novozámský Adam UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101189 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Saic Stanislav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/ZOI/novozamsky-0447054.pdf cav_un_auth*0292615 GA13-28462S GA ČR This paper aims to find the minimum sample size of the camera reference image set that is needed to build a sensor fingerprint of a high performance. Today's methods for building sensor fingerprints do rely on having a sufficient number of camera reference images. But, there is no clear answer to the question of how many camera reference images are really needed? In this paper, we will analyze and find out how to determine the minimum needed number of reference images to remove the mentioned uncertainty. We will introduce a quantitative measure (a stop-criterion) stating how many photos should be used to create a high-performance sensor fingerprint. This stop-criterion will directly reflect the confidence level that we would like to achieve. By considering that the number of digital images used to construct the camera sensor fingerprint can have a direct impact on performance of the sensor fingerprint, it is apparent that this, so far underestimated, topic is of major importance. cav_un_auth*0319321 International Workshop, IWDW 2014 /13./ 01.10.2014-04.10.2014 Taipei TW JD 2016 PR RVO:67985556 http://hdl.handle.net/11104/0249011 S 0.329 Q2 Q2 2015 84983665959 SCOPUS 000363776200004 WOS cav_un_epca*0447053 Digital-Forensics and Watermarking 978-3-319-19321-2 0302-9743 47 59 Cham Springer 2015 Lecture Notes in Computer Science 9023