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Digital image forensics: forgery and spoofing detection

Grant number: 08/08681-9
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): April 01, 2009
Effective date (End): December 31, 2009
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Siome Klein Goldenstein
Grantee:Anderson de Rezende Rocha
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Image tampering detection is paramount nowadays. Digital image forensics encompasses the set of tools and techniques to verify authenticity and integrity of digital images with several applications in our life. For instance, we can deploy digital forensics solutions to improve the security on biometric systems such as face and fingerprint recognition where an attacker may want to have unauthorized access to the system pretending to be someone else. The financial system is not safe either. Some observers consider check frauds as one of the most increasing crimes of the 1990s. In this context, it is necessary to devise afficient and effective automatic tools to detect such forgeries. Particularly, we are interested in designing solutions for such problems borrowing ideas from Machine Learning, Image Processing, and Computer Vision. We envision solutions related to check fraud detection as well as face and fingerprint spoofing detection. In addition, our work fits the main directions proposed in the thematic project FAPESP 07/52015-0 --- Approximation methods for visual computing --- and it is a joint initiative with University of Colorado at Colorado Springs, United States.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ROCHA, ANDERSON; SCHEIRER, WALTER; BOULT, TERRANCE; GOLDENSTEIN, SIOME. Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics. ACM COMPUTING SURVEYS, v. 43, n. 4 OCT 2011. Web of Science Citations: 102.
ROCHA, ANDERSON; GOLDENSTEIN, SIOME. Progressive randomization: Seeing the unseen. COMPUTER VISION AND IMAGE UNDERSTANDING, v. 114, n. 3, p. 349-362, MAR 2010. Web of Science Citations: 7.
ROCHA, ANDERSON; HAUAGGE, DANIEL C.; WAINER, JACQUES; GOLDENSTEIN, SIOME. Automatic fruit and vegetable classification from images. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 70, n. 1, p. 96-104, JAN 2010. Web of Science Citations: 80.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.
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