By Robert K. Rowe, Kristin Adair Nixon, Paul W. Butler (auth.), Nalini K. Ratha BTech, MTech, PhD, Venu Govindaraju BTech, MS, PhD (eds.)
Biometrics expertise maintains to stride ahead with its wider recognition and its actual desire in quite a few new safety points of recent society. From easily going surfing to a pc to crossing the border of a rustic, biometrics is being known as upon to fulfill the transforming into demanding situations of identification management.
With contributions from academia and by way of top overseas professionals within the box, this precise e-book provides a entire therapy of biometrics and provides assurance of the total gamut of issues within the box, together with information acquisition, pattern-matching algorithms, and concerns that effect on the approach point, corresponding to criteria, protection, networks, and databases. it's been prepared below 3 sections: sensors, advances in biometric matching algorithms, and subject matters that care for matters on the structures level.
• comprises 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
• includes new modalities for learn, reminiscent of infrared and multispectral imaging
• offers a number of chapters at the a lot ignored sector in relation to the sensors themselves for a number of the biometric modalities
• Emphasizes the advances and state-of-the-art applied sciences throughout
• Discusses platforms point either from a human-factors perspective and the point of view of networking, databases, privateness and anti-spoofing
• comprises chapters dedicated to touchless picture catch, ultrasonic imaging and swipe methods
Written for researchers and complicated scholars, this a lot wanted concise quantity is a perfect software to take advantage of as a prepared reference and captures the very newest in state of the art study, delivering 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 study heart, big apple. He co-edited the profitable Automatic Fingerprint attractiveness Systems and likewise 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, nation college of latest York.
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Extra resources for Advances in Biometrics: Sensors, Algorithms and Systems
2004). Recently, new ﬁngerprint devices have been proposed. They have been designed to overcome the above limitations of the legacy technology. , 2005). Among the diﬀerent proposed technologies, touchless ﬁngerprinting represents a very interesting solution to skin deformation and latent print problems. Moreover, touchless technology tries to reduce other problems experienced with legacy imaging devices: 2 Touchless Fingerprinting Technology • • • • • 27 Slippage and smearing due to moist ﬁngers Improper contact due to ﬁnger dryness Dirt accumulating on the imaging surface Degraded image quality resulting from wear and tear on surface coatings Halo eﬀect generated by the temperature diﬀerence between the ﬁnger and the platen However, because the nature of touchless ﬁngerprint images is diﬀerent from images obtained with legacy livescan devices, new methods of image quality check, analysis, enhancement, and protection must be implemented to provide additional ﬂexibility for speciﬁc applications and customers.
10. Classiﬁcation methods are readily able to discriminate between normal and abnormal textures and thus provide another avenue for detecting attempts to spoof the sensor. Because of the large variety and possibilities in authentic ﬁngerprint features, the problem of eﬀectively selecting and combining features to diﬀerentiate spoofs is unique to the MSI technology. , 2001). These Fig. 10. Example images of various thin transparent spoofs placed on real ﬁngers. The elliptical marks highlight areas in which unnatural textures are clearly apparent.
16. Fingerprint acquisition combining a single linescan camera and two mirrors. ﬂat mirrors allows the reduction of the costs and the miniaturization of the system. The University of Kentucky proposed a 3D touchless device for the simultaneous capture of the ten ﬁngerprints of both hands based on structured light illumination (SLI) and multiple cameras. Structured light is the projection of a light pattern (plane, grid, or more complex shape) at a known angle onto an object. This technique can be very useful for imaging and acquiring dimensional information.