Large-Scale Image Clustering Based on Camera Fingerprints: A Survey

Kriti Sharma, Naveen Choudhary and Kalpana Jain

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 3, 433-437

Abstract: In the last decade, sensor pattern noise serves as a finger print to digital camera. Researching about fingerprint is one of key technique in forensic which helps investigator to identify suspect and setup case against them. Similarly identifying "camera fingerprint" could be serve as evidence in court. In this paper we have discussed what are different methods of clustering this large image data set when the number of classes (i.e., the number of cameras) is much higher than the average size of class (i.e., the number of images acquired by each camera). We refer to practical scenarios.

Keywords: Large-Scale Data Mining; Image Clustering; Graph Partitioning; Sensor Pattern Noise; Divide-And-Conquer; Digital Forensics (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT17239
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