Titlebook: Contactless 3D Fingerprint Identification; Ajay Kumar Book 2018 Springer Nature Switzerland AG 2018 Biometrics.Fingerprint identification.

吊胃口

https://doi.org/10.1007/978-3-662-13259-3val methods, to the choice of reconstruction methods. This chapter also shares our insights and results on the attempts made to consider non-Lambertian nature of finger surface. Resulting computational complexity for respective online 3D fingerprint imaging system also appears in this chapter.

Frequency-Range

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Introduction to Trends in Fingerprint Identification,essions to the more advanced smartphone-based fingerprint sensors, in terms of their resolution and sensing area. It also provides details on publicly accessible implementations on fingerprint matchers and a list of public fingerprint databases along with respective weblinks to enable easy accessibility.

臨時(shí)抱佛腳

3D Fingerprint Image Acquisition Methods,cquire 3D fingerprint images, namely stereo vision, pattern lighting, optical coherence tomography, ultrasound imaging and photometric stereo method. It also includes other potential 3D imaging techniques, under . section, which can be investigated for acquiring contactless 3D fingerprint images.

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Blood-Vessels

使困惑

大看臺

photophobia

Physikalische und apparative Grundlagenbility of a 3D fingerprint sensor for a given application. 3D fingerprint image acquisition methods presented in this chapter have been grouped into four categories, namely optical, non-optical, geometric and photometric methods. This chapter provides details on five different candidate methods to a

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https://doi.org/10.1007/978-3-662-13259-3overy of 3D fingerprints. This chapter discusses such online 3D fingerprint image acquisition approach. Systematic details on such photometric stereo based setup are detailed in this chapter, i.e. from setup hardware, offline system calibration, preprocessing the raw images, specular reflection remo