By David Zhang
Automatic own authentication utilizing biometric details is turning into extra crucial in purposes of public protection, entry keep watch over, forensics, banking, and so forth. Many types of biometric authentication strategies were constructed in line with varied biometric features. although, lots of the actual biometric acceptance options are in response to dimensional (2D) photographs, although human features are 3 dimensional (3D) surfaces. lately, 3D thoughts were utilized to biometric purposes resembling 3D face, 3D palmprint, 3D fingerprint, and 3D ear acceptance. This publication introduces 4 ordinary 3D imaging equipment, and provides a few case reviews within the box of 3D biometrics. This ebook additionally comprises many effective 3D characteristic extraction, matching, and fusion algorithms. those 3D imaging tools and their purposes are given as follows: - unmarried view imaging with line structured-light: 3D ear identity - 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 complete 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 computing device technology, electric engineering, platforms technology, and data expertise. Researchers and practitioners in and R&D laboratories engaged on safety approach layout, biometrics, immigration, legislations enforcement, keep an eye on, and development popularity also will locate a lot of curiosity during this book.
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Extra info for 3D Biometrics: Systems and Applications
In the developed 3D palmprint system (Zhang et al. 2009), a LED projector will generate structured light stripes and project them to the palm when the user put his/her palm on the system,. In order to distinguish between stripes, they are coded with different brightness. The system uses a computer controlled LCD projector that can generate arbitrary stripe patterns. A series of grey level images of the palm with the stripes on it are captured by a CCD camera, and then the depth information of the palm surface is reconstructed from the stripe images.
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3D Biometrics: Systems and Applications by David Zhang