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IET Image Processing
Utilising different representations of face images is known to be helpful in face recognition. In this study, the authors propose two fusion techniques that make use of multiple face image features by collaboratively training a similarity metric learner, based on Siamese neural networks. This training procedure takes two (or possibly more) features of two face images and outputs a similarity score that depicts whether the faces belong to the same person or not. The authors investigate twodoi:10.1049/iet-ipr.2019.0510 fatcat:h6fbkuh5wva37gzkogrdn2htpu