Download Advances in Biometrics: Sensors, Algorithms and Systems by N. K. Ratha, Venu Govindaraju PDF

By N. K. Ratha, Venu Govindaraju

 

Biometrics expertise keeps to stride ahead with its wider reputation and its genuine desire in a variety of new safeguard elements of contemporary society. From easily going online to a pc to crossing the border of a rustic, biometrics is being referred to as upon to satisfy the growing to be demanding situations of id management.

With contributions from academia and by means of prime overseas gurus within the box, this distinctive ebook provides a entire remedy of biometrics and gives insurance of the whole gamut of issues within the box, together with info acquisition, pattern-matching algorithms, and concerns that impression on the procedure point, equivalent to criteria, safety, networks, and databases. it's been equipped lower than 3 sections: sensors, advances in biometric matching algorithms, and subject matters that care for concerns on the platforms level.

Key gains:

• 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 learn, resembling infrared and multispectral imaging

• provides numerous chapters at the a lot neglected sector on the subject of the sensors themselves for some of the biometric modalities

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

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

• contains chapters dedicated to touchless photo trap, ultrasonic imaging and swipe methods

Written for researchers and complex scholars, this a lot wanted concise quantity is a perfect device to exploit as a prepared reference and captures the very most recent in cutting-edge examine, supplying readers with a broader and deeper realizing of the topic.

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

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

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Extra resources for Advances in Biometrics: Sensors, Algorithms and Systems

Example text

A detail of the 3D ridge–valley structure. Fig. 19. Rolled-equivalent fingerprint obtained using a virtual roll. 19). The University of Kentucky and TBS use two different approaches to project the 3D shape of the finger onto a 2D plane. The first of them uses a spring algorithm proposed by Atkins et al. (2000) for digital halftoning postprocessing. In this approach, each point is treated as if it were connected to the neighboring points by springs and moved to a location where the energy in the springs is a minimum.

2005), using the suggested approach, it is possible to capture interior information of the finger that can be used to reduce the negative effects of the skin conditions on the final image, as happens in contact-based technology. 11 represents an example of a fingerprint obtained with this approach. 4 3D Touchless Fingerprinting Touchless fingerprint devices are already available on the market, but they did not generate sufficient interest to allow widespread use, in spite of their advantages with respect to legacy devices.

The simplest spectral property is that of the color of the surface of the material placed on the sensor. The range of live human skin colors is fairly narrow and, visually, skin on its surface looks very different from many other materials. This property is very easily seen through the intensity of the pixels in each of the MSI image planes. 8. The four plots show the mean image intensity value for four different types of spoofs (red gelatin, gold latex, white clay, and green gummy bear material, each formed into fingerprint patterns) measured over a representative set of samples.

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