12/8/2022 0 Comments Face morph age online![]() ![]() In more details, the subject with no criminal records (i.e., the accomplice) could apply for an eMRTD by presenting the morphed face photo if the image is not noticeably different from his/her face, the police officer accepts the photo and releases the document (see Fig. In this scenario, a criminal could exploit the passport of an accomplice with no criminal records to overcome the security controls. ![]() If a morphed image, which is similar enough to the face of the two parent subjects, can be included in an eMRTD, then two persons can share the document. #Face morph age online verificationIdentity verification at an ABC relies on the comparison of a live captured probe face image with a digital face image stored in an eMRTD such as an e-passport. A possible attack in relation to the use of MRTD in Automated Border Control (ABC) gates has been firstly identified in and later confirmed by several research works. The main risk deriving from face morphing is especially related to the adoption of automatic face-based identity verification in various applications like civilian identity management, Machine Readable Travel Documents (eMRTD), or visa management. However, only in recent years it has emerged as a potential and severe security thread for Face Recognition Systems (FRS). Morphing was initially proposed as an image generation technique for computer graphics applications or psychological studies. Moreover, the sensitivity of state-of-the-art face recognition algorithms to the face morphing attack will be assessed using morphed images of different quality generated using various morphing methods to identify possible factors influencing the probability of success of the attack.įace morphing is generally described as a seamless transition transforming a facial image into another. This chapter will describe the face morphing process, in an overview ranging from the traditional techniques based on geometry warping and texture blending to the most recent and innovative approaches based on deep neural networks. Face morphing represents nowadays a big security threat particularly in the context of electronic identity documents because it can be successfully exploited for criminal intents, for instance to fool Automated Border Control (ABC) systems thus overcoming security controls at the borders. In particular, several studies show that automatic face recognition systems are very sensitive to the so-called face morphing attack, where face images of two individuals are mixed to produce a new face image containing facial features of both subjects. However, even under these desirable conditions, digital image alterations can severely affect the recognition performance. Face recognition in controlled environments is nowadays considered rather reliable, and very good accuracy levels can be achieved by state-of-the-art systems in controlled scenarios. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |