Source cell-phone identification

Celiktutan O., Avcibas I., Sankur B., Ayerden N. P., Capar C.

IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 16 - 19 Nisan 2006, ss.218-219 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2006.1659882
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.218-219
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

In this paper, we focus on blind source cell-phone identification problem. The main idea is that proprietary interpolation algorithm (involved due to the structure of color filter array [CFA]) leaves footprints in the form of correlations across adjacent bit planes of images. For this purpose, we explore a set of binary similarity measures, image quality measures and higher order wavelet statistics in conjunction with KNN and SVM classifiers to identify the originating cell-phone. We provide identification results among 9 different brand cell-phone cameras.