000 | 03545cam a22005898i 4500 | ||
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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 |
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020 |
_a9781003003489 _q(ebook) |
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020 | _a1003003486 | ||
020 |
_z9780367422448 _q(hardback) |
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020 |
_a9781000291667 _qelectronic book |
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020 |
_a1000291669 _qelectronic book |
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020 |
_a9781000291629 _qelectronic book |
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020 |
_a1000291626 _qelectronic book |
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020 |
_a9781000291643 _qelectronic book |
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020 |
_a1000291642 _qelectronic book |
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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 |
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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 |
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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 |