Deep Face Representations for Differential Morphing Attack Detection
نویسندگان
چکیده
منابع مشابه
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
In biometrics, Fingerprint is widely used in identification of individual’s identity. Biometric recognition is leading technology for identification and security systems. Fingerprint has unique identification among all other biometric modalities. Use of the fingerprints as biometric characteristics is extensively used and developed for fingerprint recognition in forensic, civilian and commercia...
متن کاملMorface: Face Morphing
The purpose of this project was to produce a real-time installation which uses two approaches: a close approach dealing with user’s face and head position and a far approach where the installation reacts to user’s motion differently if it is repetitive or not. The installation was personalized by a Mona Lisa.
متن کاملLearning Multi-channel Deep Feature Representations for Face Recognition
Deep learning provides a natural way to obtain feature representations from data without relying on hand-crafted descriptors. In this paper, we propose to learn deep feature representations using unsupervised and supervised learning in a cascaded fashion to produce generically descriptive yet class specific features. The proposed method can take full advantage of the availability of large-scale...
متن کاملPractical View on Face Presentation Attack Detection
Face recognition is one of the most socially accepted forms of biometric recognition. The recent availability of very accurate and efficient face recognition algorithms leaves the vulnerability to presentation attacks as the major challenge to face recognition solutions. Previous works have shown high preforming presentation attack detection PAD solutions under controlled evaluation scenarios. ...
متن کاملAnomaly-based Web Attack Detection: The Application of Deep Neural Network Seq2Seq With Attention Mechanism
Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Forensics and Security
سال: 2020
ISSN: 1556-6013,1556-6021
DOI: 10.1109/tifs.2020.2994750