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Detecting Spliced Face Using Texture Analysis

  • Divya S. Vidyadharan
  • Sabu M. Thampi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10658)

Abstract

Images are widely accepted as evidence of events despite the fact that images can be easily altered with adverse intentions. It is difficult to identify image alteration carried out by a skilled criminal. Digital forensics investigators need sophisticated tools to prove the legitimacy of digital images. The proposed work focuses on detecting altered digital images containing human facial regions. The work presents a method for detecting spliced face among a number of faces in an image. The proposed method makes use of the inconsistencies in the illuminant texture present in image pixels. For each facial region extracted from the image, a texture descriptor is extracted from its illumination representation followed by a comparison of all the texture descriptors to identify the spliced face. Experimental results show that the proposed method achieved better detection results than existing methods.

Keywords

Illumination inconsistency Image splicing detection Texture analysis Local Phase Quantization Image forgery localization 

Notes

Acknowledgments

The authors would like to express their gratitude to Higher Education Department, Government of Kerala, for funding the research and College of Engineering, Trivandrum for providing the facilities.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.College of Engineering-TrivandrumThiruvananthapuramIndia
  2. 2.LBS Centre for Science and TechnologyUniversity of KeralaThiruvananthapuramIndia
  3. 3.Indian Institute of Information Technology and Management-KeralaThiruvananthapuramIndia

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