000262663 001__ 262663
000262663 005__ 20190415234649.0
000262663 020__ $$a978-3-319-92626-1
000262663 020__ $$a978-3-319-92627-8
000262663 0247_ $$2doi$$a10.1007/978-3-319-92627-8_18
000262663 037__ $$aBOOK_CHAP
000262663 245__ $$aAn Introduction to Vein Presentation Attacks and Detection
000262663 260__ $$c2019$$bSpringer International Publishing
000262663 269__ $$a2019
000262663 336__ $$aBook Chapters
000262663 520__ $$aThe domain of presentation attacks (PA), including vulnerability studies and detection (PAD) remains very much unexplored by available scientific literature in biometric vein recognition. Contrary to other modalities that use visual spectral sensors for capturing biometric samples, vein biometrics is typically implemented with near-infrared imaging. The use of invisible light spectra challenges the cre- ation PA instruments, but does not render it impossible. In this chapter, we provide an overview of current landscape for PA manufacturing in possible attack vectors for vein recognition, describe existing public databases and baseline techniques to counter such attacks. The reader will also find material to reproduce experiments and findings for fingervein recognition systems. We provide this material with the hope it will be extended to other vein recognition systems and improved in time.
000262663 700__ $$aAnjos, André
000262663 700__ $$aTome, Pedro
000262663 700__ $$aMarcel, Sébastien
000262663 720_1 $$aMarcel, Sébastien
000262663 720_1 $$aNixon, Mark
000262663 720_1 $$aFierrez, Julian
000262663 720_1 $$aEvans, Nicholas
000262663 773__ $$tHandbook of Biometric Anti-Spoofing$$q419-438
000262663 8564_ $$zURL$$uhttps://www.springer.com/us/book/9783319926261
000262663 909C0 $$mfranck.formaz@epfl.ch$$xU10381$$pLIDIAP$$0252189$$zMarselli, Béatrice
000262663 909CO $$pSTI$$pbook$$pchapter$$ooai:infoscience.epfl.ch:262663$$qGLOBAL_SET
000262663 970__ $$aAnjos_SPRINGER_2019/IDIAP
000262663 973__ $$aEPFL
000262663 980__ $$aBOOK_CHAP