Traditional password-based solutions are being predominantly replaced by biometric technology for mobile user authentication. Since the inception of smartphones, smartphone cameras have made substantial progress in image resolution, aperture size, and sensor size. These advances facilitate the use of selfie biometrics such as the self-acquired face, fingerphoto, and ocular region for mobile user authentication. This chapter introduces the topic of selfie biometrics to the readers. Overview of the methods for different selfie biometrics modalities is provided. Liveness detection, soft-biometrics prediction, and cloud-based infrastructure for selfie biometrics are also discussed. Open issues and research directions are included to provide the path forward. The overall aim is to improve the understanding and advance the state-of-the-art in this field.
CITATION STYLE
Rattani, A., Derakhshani, R., & Ross, A. (2019). Introduction to selfie biometrics. In Advances in Computer Vision and Pattern Recognition (pp. 1–18). Springer London. https://doi.org/10.1007/978-3-030-26972-2_1
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