A scheme for fingerphoto recognition in smartphones
Advances in Computer Vision and Pattern Recognition, ISSN: 2191-6594, Page: 49-66
2019
- 13Citations
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Book Chapter Description
Touchless technologies for fingerphoto recognition based on smartphones can be considered selfie biometrics, in which a user captures images of his or her own biometric traits by using the integrated camera in a mobile device (here referred to as selfie fingerprint biometrics). Such systems mitigate the limitations of leaving latent fingerprints, dirt on the acquisition device released by the fingers, and skin deformations induced by touching an acquisition surface associated with a touch ID-based system. Furthermore, the use of the integrated camera to perform biometric acquisition bypasses the need of a dedicated fingerprint scanner. With respect to touch-based fingerprint recognition systems, selfie fingerprint biometrics require ad hoc methods for most steps of the recognition process. This is because the images captured using smartphone cameras present more complex backgrounds, lower visibility of the ridges, reflections, perspective distortions, and nonuniform resolutions. Selfie fingerprint biometric methods are usually less accurate than touch-based methods, but their performance can be satisfactory for a wide variety of security applications. This chapter presents a comprehensive literature review of selfie fingerprint biometrics. First, we introduce selfie fingerprint biometrics and touchless fingerprint recognition methods. Second, we describe the technological aspects of the different steps of the recognition process. Third, we analyze and compare the performances of recent methods proposed in the literature.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85073168411&origin=inward; http://dx.doi.org/10.1007/978-3-030-26972-2_3; http://link.springer.com/10.1007/978-3-030-26972-2_3; http://link.springer.com/content/pdf/10.1007/978-3-030-26972-2_3; https://dx.doi.org/10.1007/978-3-030-26972-2_3; https://link.springer.com/chapter/10.1007/978-3-030-26972-2_3
Springer Science and Business Media LLC
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