Download e-book for iPad: Advances in biometrics by N. K. Ratha, Venu Govindaraju

By N. K. Ratha, Venu Govindaraju

ISBN-10: 1846289203

ISBN-13: 9781846289200


Biometrics know-how maintains to stride ahead with its wider popularity and its genuine desire in quite a few new defense points of contemporary society. From easily going online to a computer to crossing the border of a rustic, biometrics is being referred to as upon to fulfill the becoming demanding situations of id management.

With contributions from academia and through prime overseas experts within the box, this designated publication offers a accomplished therapy of biometrics and provides insurance of the whole gamut of issues within the box, together with info acquisition, pattern-matching algorithms, and concerns that effect on the method point, reminiscent of criteria, safeguard, networks, and databases. it's been geared up less than 3 sections: sensors, advances in biometric matching algorithms, and themes that take care of matters on the platforms level.

Key positive aspects:

• contains new algorithmic advances, together with physiological biometrics (face from video, iris at a distance) and behavioral (handwriting, voice) and a strikingly novel modality in headprint biometrics

• comprises new modalities for study, reminiscent of infrared and multispectral imaging

• provides numerous chapters at the a lot neglected zone with regards to the sensors themselves for some of the biometric modalities

• Emphasizes the advances and state of the art applied sciences throughout

• Discusses platforms point either from a human-factors standpoint and the point of view of networking, databases, privateness and anti-spoofing

• comprises chapters dedicated to touchless photo seize, ultrasonic imaging and swipe methods

Written for researchers and complex scholars, this a lot wanted concise quantity is a perfect instrument to take advantage of as a prepared reference and captures the very newest in cutting-edge study, delivering readers with a broader and deeper figuring out of the topic.

Dr Nalini ok. Ratha is a examine employees Member on the IBM Thomas J. Watson learn heart, manhattan. He co-edited the winning Automatic Fingerprint attractiveness Systems and in addition co-authored A consultant to Biometrics choice and process Design

Professor Venu Govindaraju is Director on the middle for Unified Biometrics and Sensors (CUBS), collage at Buffalo, country college of recent York.

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Transparent spoofs worn by the volunteers’ index fingers resulted in an order of magnitude more samples than opaque spoofs. Each MSI image stack underwent a wavelet transform using dual-tree complex wavelets (Kingsbury, 2001). The absolute magnitudes of the coefficients were then summed over all six decomposition orientations. The resulting summed coefficient values were compiled into histograms for each raw MSI image and each decomposition level. Each of the resulting histograms was then summarized at two percentile values (30th and 70th).

2006) Liveness Detection Method. Patent pending. 6. Elli, A. (2001) Understanding the color of human skin. Proceedings of the 2001 SPIE Conference on Human Vision and Electronic Imaging VI, SPIE Vol. 4299, pp. 243–251. G. (2006) Acquiring a 2-D rolled equivalent fingerprint image from a non-contact 3-D finger scan. Biometric technology for human identification III, edited by Patrick J. Flynn, Sharath Pankanti, SPIE Defense and Security Symposium, Orlando, FL, Vol. 6202, pp. 62020C-1 – 62020C-8. , and Shin, E.

3D representation of a minutia Mi (ridge ending). The feature point is uniquely represented by the t-upla {x, y, z, θ, φ}. , 1997). The most used representation considers each minutia as a triplet {x, y, θ} that indicates the (x, y) minutia location coordinates and the minutia orientation θ. 17). In addition to the coarse 3D representation of the fingerprint shape, the 3D representation obtained by the SLI approach of the University of Kentucky also provides a finer 3D description of the ridge–valley structure.

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