{"product_id":"9783030836238","title":"Handbook of Fingerprint Recognition","description":"\u003ch1\u003eHandbook of Fingerprint Recognition\u003c\/h1\u003e \u003ch2\u003eMaltoni, Davide; Maio, Dario; Jain, Anil K.; Feng, Jianjiang\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cp\u003eWith their distinctiveness and stability over time, fingerprints continue to be the most widely used anatomical characteristic in systems that automatically recognize a person's identity.\u003c\/p\u003e\n\nThis fully updated third edition provides in-depth coverage of the state-of-the-art in fingerprint recognition readers, feature extraction, and matching algorithms and applications. Deep learning (resurgence beginning around 2012) has been a game changer for artificial intelligence and, in particular, computer vision and biometrics. Performance improvements (both recognition accuracy and speed) for most biometric modalities can be attributed to the use of deep neural networks along with availability of large training sets and powerful hardware. Fingerprint recognition has also been approached by deep learning, resulting in effective and efficient methods for automated recognition and for learning robust fixed-length representations. However, the tiny ridge details in fingerprints known as minutiae are still competitive with the powerful representations learned by huge neural networks trained on big data.\u003c\/div\u003e\u003cdiv\u003e\n\u003cbr\u003e\u003cp\u003e\u003cb\u003eFeatures \u0026amp; Benefits:\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReflects the progress made in automated techniques for fingerprint recognition over the past five decades\u003c\/li\u003e\n\u003cli\u003eReviews the evolution of sensing technology: from bulky optical devices to in-display readers in smartphones\u003c\/li\u003e\n\u003cli\u003eDedicates an entire new chapter to latent fingerprint recognition, which is nowadays feasible in “lights-out” mode\u003c\/li\u003e\n\u003cli\u003eIntroduces classical and learning-based techniques for local orientation extraction, enhancement, and minutiae detection\u003c\/li\u003e\n\u003cli\u003eProvides an updated review of presentation-attack-detection techniques and their performance evaluation\u003c\/li\u003e\n\u003cli\u003eDiscusses the evolution of minutiae matching from rich local descriptors to Minutiae Cylinder Code \u003c\/li\u003e\n\u003cli\u003ePresents the development of feature-based matching: from FingerCode to handcrafted textural features to deep features\u003c\/li\u003e\n\u003cli\u003eReviews fingerprint synthesis, including recent Generative Adversarial Networks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eThe revised edition of this must-read reference, written by leading international researchers, covers all critical aspects of fingerprint security system design and technology. It is an essential resource for all security and biometrics professionals, researchers, practitioners, developers, and systems administrators, and can serve as an easy-to-read reference for an undergraduate or graduate course on biometrics.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cb\u003eDavide Maltoni\u003c\/b\u003e is full professor in the Department of Computer Science (DISI) at the University of Bologna, where he also co-directs the Biometrics Systems Laboratory (BioLab).\u003cbr\u003e \u003cb\u003eDario Maio\u003c\/b\u003e is full professor in the DISI and a co-director of the BioLab.\u003cbr\u003e \u003cb\u003eAnil K. Jain\u003c\/b\u003e is university distinguished professor in the Department of Computer Science and Engineering at Michigan State University. \u003cb\u003eJianjiang Feng\u003c\/b\u003e is associate professor in the Department of Automation at Tsinghua University.\u003cbr\u003e\n\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-07-05\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030836238\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-83624-5\u003c\/p\u003e \u003cp\u003eDimensions: 240.0cm x168.0cm\u003c\/p\u003e \u003cp\u003ePages: 522.0\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":44809852289164,"sku":"9783030836238","price":224.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030836238_a8c34cab-ed23-46f4-84fd-27cfc549b69e.jpg?v=1767309012","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030836238","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}