Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders

Representations of biometric traits to be used in automatic recognition systems are typically learned with the goal of obtaining significant discriminative capabilities, that is, generating features that are notably different when produced by traits of different subjects, while maintaining an approp...

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