By David Zhang
Automatic own authentication utilizing biometric details is changing into extra crucial in purposes of public defense, entry keep watch over, forensics, banking, and so on. Many types of biometric authentication options were constructed in response to various biometric features. notwithstanding, lots of the actual biometric reputation suggestions are in accordance with dimensional (2D) photos, although human features are 3 dimensional (3D) surfaces. lately, 3D suggestions were utilized to biometric functions reminiscent of 3D face, 3D palmprint, 3D fingerprint, and 3D ear popularity. This publication introduces 4 normal 3D imaging equipment, and provides a few case stories within the box of 3D biometrics. This ebook additionally comprises many effective 3D characteristic extraction, matching, and fusion algorithms. those 3D imaging equipment and their purposes 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 basic 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 concerns and useful 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, structures technology, and data know-how. Researchers and practitioners in and R&D laboratories engaged on defense process layout, biometrics, immigration, legislations enforcement, keep an eye on, and development reputation also will locate a lot of curiosity during this book.
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Extra resources for 3D Biometrics: Systems and Applications
The CCD camera captures the 2D object image with laser lines on it. Then the 3D coordinates of points on the laser lines can be calculated. 2 illustrates the 3D ear data collection and processing steps. The computer controls a projector to project a series of laser-light stripes on the ear surface, and the CCD camera captures the ear images with projected stripes on it. At the same time the computer sends a command to the data collection board to store the images. The data collection takes about 2 s.
When the laser plane contacts the object surface, there will be a grating on the object surface. The grating is modulated by the height of the object surface and the gap. It shows in the image is the grating become discontinues and distortional. The degree of the distortion is proportional to the height of the object surface and the discontinuity shows the physical gap on the object surface. Technique intuitively, the displacement showed by the grating information is proportional to the height of the object surface, the kink expresses the changing of the surface and the discontinuity shows the physical gap of the object surface.
Thus it forms many triangular geometry constraint relationships like in the point structured light model. Obviously, the information in the line structured light model is more than that in the point structured light model. But its implementation complexity does not increase, so it has been widely used. Multi-line structured light model is the extension of the line structured light model. The projector projects a few gratings. On one hand, it can handle more than one grating in one image, so it can improve the image processing efficiency.