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Fake Hand

a Samples of original hand images of a subject (top-row) which was

By A Mystery Man Writer

Description
Download scientific diagram | a Samples of original hand images of a subject (top-row) which was originally captured by a HP Scanjet 5300 c scanner at 45-dpi. b Fake hand images with natural degradation acquired from corresponding original hand images (middle-row) using a Canon EOS 700D camera at 72-dpi. c Fake hand images with artificial noise degradation (bottom-row) by introducing: (left) Gaussian blur, (middle) salt and peeper, and (right) speckle noise. Two fake samples are shown column-wise for each type of added noise from publication: Spoofing detection on hand images using quality assessment | Recent research on biometrics focuses on achieving a high success rate of authentication and addressing the concern of various spoofing attacks. Although hand geometry recognition provides adequate security over unauthorized access, it is susceptible to presentation attack. | Spoofing, Hand and Forging | ResearchGate, the professional network for scientists.
a Samples of original hand images of a subject (top-row) which was
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a Samples of original hand images of a subject (top-row) which was
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a Samples of original hand images of a subject (top-row) which was
Hubert SHUM, Associate Professor & Deputy Director of Research, SMIEEE, FHEA, PhD, MSc, BEng, Durham University, Durham, DU, Department of Computer Science
a Samples of original hand images of a subject (top-row) which was
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a Samples of original hand images of a subject (top-row) which was
a Samples of original hand images of a subject (top-row) which was
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a Samples of original hand images of a subject (top-row) which was
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a Samples of original hand images of a subject (top-row) which was
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