Moreover, Morph-3 images are not considered in the literature before. Morph-3 images can give more realistic appearance and hence difficult to detect. A versatile dataset is also developed that contains Morph-2 and Morph-3 images, created by sophisticated tools with manual intervention. Additionally, image enhancement and feature combination are proposed to augment the detection results. A deep learning based feature extractor along with a classifier is adopted. This research proposes a robust detection mechanism that can deal with variation in age, illumination, eye and head gears. This research focuses on morphing attack detection. The current facial recognition systems are vulnerable to different biometric attacks. ![]() Failure of facial recognition and authentication system may lead to several unlawful activities.
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