Biometric systems: technology, design, and performance by James L. Wayman, Anil K. Jain, Davide Maltoni, Dario Maio

By James L. Wayman, Anil K. Jain, Davide Maltoni, Dario Maio

This ebook offers practitioners with an outline of the foundations & equipment had to construct trustworthy biometric structures. It covers three major subject matters: key biometric applied sciences, checking out & administration concerns, & the felony and method concerns of biometric structures for private verification/identification. It makes a speciality of the four most generally used applied sciences - speech, fingerprint, iris & face attractiveness. It comprises: · In-depth assurance of the technical and functional hindrances that are frequently ignored by way of program builders & method integrators & which lead to shortfalls among anticipated and genuine functionality; · targeted directions on biometric approach assessment; · Protocols & benchmarks for you to permit builders to match functionality & music approach advancements. Biometric structures - know-how, layout and function review is meant as a reference booklet for an individual considering the layout, administration or implementation of biometric platforms.

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58] R. C. Lummis and A. Rosenberg, Test of an automatic speaker verification method with intensively trained mimics. J. Acoust. Soc. , 51, 131(A), 1972. [59] G. Warfel, Identification Technologies: Computer, Optical, and Chemical Aids to Personal ID. Charles C. Thomas, Springfield, IL, 1979. 20 Biometric Systems [60] J. L. Wayman, Report on the evaluation of the INSPASS hand geometry system. In National Biometric Test Center Collected Works 1997–2000, San Jose State University, 2000. [61] R. Cappelli, D.

G. artificial neural networks) trained to recognize the specified patterns. g. cores and deltas) in a fingerprint image are typically detected using the Poincaré method [29, 30] on the fingerprint orientation image, D, as follows. Let G be the vector field associated with a fingerprint orientation image D (note that a fingerprint orientation image is not a true vector field since its elements are unoriented directions, but it can be converted to a pseudovector field by multiplying the orientation values by 2 [31]) and let [i, j] be the position of the element θij in the orientation image; then the Poincaré index PG, C(i, j) at [i, j] is computed as follows: ● ● the curve C is a closed path defined as an ordered sequence of some elements of D, such that [i, j] is an internal point PG, C(i, j) is computed by algebraically summing the orientation differences between adjacent elements of C.

As with many such indexing schemes, there is a trade-off between selectivity and reliability in a system that reduces manual searching effort (which has its own inherent errors). The method of indexing fingerprints using the Henry/Vucetich method introduces many errors through the often complicated rules for assigning primary, secondary and tertiary labels to fingerprints. In practice, these errors can be minimized through rigorous training of human indexers in order to benefit from the increased search efficiency.

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