David Zhang (auth.), David Zhang (eds.)'s Biometric Solutions: For Authentication in an E-World PDF

By David Zhang (auth.), David Zhang (eds.)

ISBN-10: 1461353718

ISBN-13: 9781461353713

ISBN-10: 1461510538

ISBN-13: 9781461510536

Biometric options for Authentication in an E-World presents a set of 16 chapters containing educational articles and new fabric in a unified demeanour. This contains the fundamental suggestions, theories, and attribute beneficial properties of integrating/formulating varied features of biometric options for authentication, with contemporary advancements and important purposes in an E-world. This ebook presents the reader with a uncomplicated idea of biometrics, an in-depth dialogue exploring biometric applied sciences in quite a few purposes in an E-world. it is also an in depth description of ordinary biometric-based defense platforms and updated insurance of ways those concerns are constructed. specialists from around the world reveal many of the methods this integration could be made to successfully layout methodologies, algorithms, architectures, and implementations for biometric-based functions in an E-world.

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Of IEEE 31 st Annual International Carnahan Conference, pages 50-57, 1997. Y. Kung, Shang-Hung Lin and Ming Fang. A Neural Network Approach to Face/palm Recognition, Neural Networks for Signal Processing. In Proc. of the IEEE Workshop, pages 323-332, 1995. [68] B. Javidi. The Role of Optics and Photonics in Encryption, Anti-counterfeiting, and Security Systems (Parts I and II), Lasers and Electro-Optics Society Annual Meeting. In Proc. of the 8th Annual Meeting Conference, vol. 1, IEEE, vol. 2, pages 255-256, 1995.

13. Another approach is the verification of minutiae in the original gray-scale image by means of neural networks. 12. (e) Hole Examples of false minutiae shapes. 13. (d) Short Ridge (b) After postprocessing Skeleton image before and after postprocessing. detected by a standard minutiae extraction algorithm. The minutiae neighborhood is then taken from the gray-scale image and normalized, for example with respect to orientation, and enhanced. In [43], this 32 by 32 neighborhood is directly fed to a learning vector quantizer (LVQ) or a Kohonen neural network.

Instead of providing a Boolean output that indicates whether an SP is present at a particular location, they produce a continuous output that indicates to what extent the local DF resembles an SP. Postprocessing steps, like thresholds and heuristics, are necessary to interpret the outputs of the algorithms and to make the final decisions. Our method, which is capable of pixel-accurate SP detection, is based on the Poincare index [32]. 7. Following a counter-clockwise closed contour around a core in the DF, then adding the differences between the subsequent angles, results in a cumulative change in the orientation of 11'; carrying this procedure out around a delta results in -11'.

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Biometric Solutions: For Authentication in an E-World by David Zhang (auth.), David Zhang (eds.)


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