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.
News published in Agência FAPESP Newsletter about the scholarship: