Download 3D Biometrics: Systems and Applications by David Zhang PDF

By David Zhang

Automatic own authentication utilizing biometric info is turning into extra crucial in functions of public protection, entry keep watch over, forensics, banking, and so on. Many varieties of biometric authentication strategies were built according to varied biometric features. despite the fact that, lots of the actual biometric popularity ideas are in accordance with dimensional (2D) pictures, even though human features are 3 dimensional (3D) surfaces. lately, 3D strategies were utilized to biometric purposes reminiscent of 3D face, 3D palmprint, 3D fingerprint, and 3D ear popularity. This booklet introduces 4 usual 3D imaging equipment, and provides a few case stories within the box of 3D biometrics. This publication additionally comprises many effective 3D function extraction, matching, and fusion algorithms. those 3D imaging tools and their functions are given as follows: - unmarried view imaging with line structured-light: 3D ear id - unmarried view imaging with multi-line structured-light: 3D palmprint authentication - unmarried view imaging utilizing in simple terms 3D digital camera: 3D hand verification - Multi-view imaging: 3D fingerprint attractiveness 3D Biometrics: platforms and Applications is a accomplished advent to either theoretical matters and functional implementation in 3D biometric authentication. it's going to function a textbook or as an invaluable reference for graduate scholars and researchers within the fields of laptop technology, electric engineering, structures technology, and data know-how. Researchers and practitioners in and R&D laboratories engaged on protection process layout, biometrics, immigration, legislation enforcement, keep an eye on, and trend attractiveness also will locate a lot of curiosity during this book.

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Kluwer Academic, ISBN: 0792383451 Kakadiarisv IA, Passalis G, Toderici G, Murtuza MN, Lu YL, Karampatziakis N, Theoharis T (2007) Three-dimensional face recognition in the presence of facial expressions: an annotated deformable model approach. IEEE Trans Pattern Anal Mach Intell 29(4):640–649. 1017 Liu H, Yan J (2008) Multi-view ear shape feature extraction and reconstruction. 3rd international IEEE conference on signal-image technologies and internet-based system, pp 652–658. 42 Li W, Zhang L, Zhang D, Lu G (2010) Efficient joint 2D and 3D palmprint matching with alignment refinement.

Pattern Recogn 43:358–368. 026 Part II 3D Ear Recognition Based on Line Structured Light Chapter 3 3D Ear Acquisition System Abstract The human ear is a new feature in biometrics that has several merits over the more common face, fingerprint and iris biometrics. Unlike the fingerprint and iris, it can be easily captured from a distance without a fully cooperative subject. Also, unlike a face, the ear has a relatively stable structure that does not change much with the age and facial expressions.

Pattern Recogn Lett 23(10):1191–1202(12). 1016/S0167-8655(02)00066-1 Wang Y, Hao Q, Fatehpuria A, Hassebrook LG, Lau DL (2009) Data acquisition and quality analysis of 3-dimensional fingerprints. IEEE conference on biometrics, identity and security. 5507527 Wang Y, Hassebrook LG, Lau DL (2010) Data acquisition and processing of 3D fingerprints. IEEE Trans Inf Forensics Secur 5(4):0. 2062177 Wilburn BS, Smulski M, Lee K, Horowitz MA (2002) The light field video camera. In: Proceedings of media processors 2002, SPIE electronic imaging.

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