Scanner Acquisition Sample Clauses

Scanner Acquisition. See Table 1. Sample provided for each site; a protocol specific for chart will be provided.

Scanner Acquisition. Similarly to camera footprints, scanner footprints can be used for device identification and linking. Moreover, scanned image tampering detection is of particular importance, since legal establishments such as banks accept scanned documents as proofs of address and identity [36]. In [37], noise patterns from different types of reference images are extracted in an attempt to extract a characteristic scanner PRNU equivalent. In [38], cases where scanner PRNU acquisition might be difficult are considered, e.g. due to the lack of uniform tones and the dominance of saturated pixels, such as in text documents. Image features based on the letter “e” are extracted, clustered together and classified with an SVM. Individual footprints are examined in [39], where scratches and dust spots on the scanning plane result in dark and bright spots in the image. Source classification is also investigated. In [40], an SVM-based classification of PRCG, scanned and photographed images is made. Confusion between scanned and shot images was reduced due to physical sensor structure: cameras have a two dimensional sensor array, while scanners a one dimen- sional linear array, resulting in different noise correlation within the image. The same periodicity is exploited in [41], where camera-acquired and scanned images are classified with an SVM.