000			03545cam a22005898i 4500
001			9781003003489
003			FlBoTFG
005			20220711212432.0
006			m d u
007			cr |||||||||||
008			200717s2021 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003003489 _q(ebook)
020			_a1003003486
020			_z9780367422448 _q(hardback)
020			_a9781000291667 _qelectronic book
020			_a1000291669 _qelectronic book
020			_a9781000291629 _qelectronic book
020			_a1000291626 _qelectronic book
020			_a9781000291643 _qelectronic book
020			_a1000291642 _qelectronic book
035			_a(OCoLC)1178868286
035			_a(OCoLC-P)1178868286
050	0	0	_aTK7882.B56
072		7	_aCOM _x037000 _2bisacsh
072		7	_aTEC _x020000 _2bisacsh
072		7	_aCOM _x051240 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	0	_a006.2/48 _223
245	0	0	_aAI and deep learning in biometric security : _btrends, potential, and challenges / _cedited by Gaurav Jaswal, Vivek Kanhangad, and Raghavendra Ramachandra.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, _c2021.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	0		_aArtificial intelligence (AI) : elementary to advanced practices
505	2		_aDeep learning based hyperspectral multimodal biometric authentication system using palmprint and dorsal hand vein / Shuping Zhao, Wei Nie, Bob Zhang -- Cancelable biometrics for template protection: Future directives with deep learning / Avantika Singh, Gaurav Jaswal, Aditya Nigam -- On training generative adversarial network for enhancement of latent fingerprints / Indu Joshi, Adithya Anand, Sumantra D Roy and Prem K Kalra.
520			_a"This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aBiometric identification. _911407
650		0	_aArtificial intelligence. _93407
650		7	_aCOMPUTERS / Machine Theory _2bisacsh _916517
650		7	_aTECHNOLOGY / Manufacturing _2bisacsh _910872
650		7	_aCOMPUTERS / Programming / Systems Analysis & Design _2bisacsh _912930
700	1		_aJaswal, Gaurav, _eeditor. _916518
700	1		_aKanhangad, Vivek, _eeditor. _916519
700	1		_aRamachandra, Raghavendra, _eeditor. _916520
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003003489
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c71273 _d71273