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020 _a9783030483784
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024 7 _a10.1007/978-3-030-48378-4
_2doi
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082 0 4 _a621.382
_223
245 1 0 _aBiometric Identification Technologies Based on Modern Data Mining Methods
_h[electronic resource] /
_cedited by Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 200 p. 127 illus., 92 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Image processing and recognition -- Intellectual technologies in systems of biometric identification -- Biometric scanners -- Methods and means of biometric identification by fingerprint -- Methods and means of biometric identification based on the iris of the eye -- Methods and means of biometric identification by hand geometry -- Methods and means of biometric identification based on retina pattern -- Methods and means of biometric identification through the veins of the fingers -- Voice authentication -- Handwriting authentication -- Identification by the handwriting on the keyboard -- Gait identification -- Finger micro-vibration identification -- Identification by the movement of the lips -- Identification through an electrocardiogram -- Conclusion.
520 _aThis book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies. The authors classify biometric technologies into two groups, distinguished according to the type of biometric characteristics used. The first group uses static biometric parameters: fingerprints, hand geometry, retina pattern, vein pattern on the finger, etc. The second group uses dynamic parameters for identification: the dynamics of the reproduction of a signature or a handwritten keyword, voice, gait, dynamics of work on the keyboard, etc. The directions of building information systems that use automatic personality identification based on the analysis of unique biometric characteristics of a person are discussed. The book is intended for professionals working and conducting research in the field of intelligent information processing, information security, and robotics and in the field of real-time identification systems. The book contains examples and problems/solutions throughout. Presents recent advances in the creation of biometric identification systems for various applications; Classifies biometrics into two groups - static and dynamic - and discusses developing for each; Relevant for students, researchers, and professionals in intelligent information processing, security, and robotics.
650 0 _aSignal processing.
650 0 _aBiometric identification.
650 0 _aSecurity systems.
650 1 4 _aSignal, Speech and Image Processing.
650 2 4 _aBiometrics.
650 2 4 _aSecurity Science and Technology.
700 1 _aBilan, Stepan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aElhoseny, Mohamed.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHemanth, D. Jude.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030483777
776 0 8 _iPrinted edition:
_z9783030483791
776 0 8 _iPrinted edition:
_z9783030483807
856 4 0 _uhttps://doi.org/10.1007/978-3-030-48378-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176810
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