Download Advanced Studies in Biometrics: Summer School on Biometrics, by J. Bigun, J. Fierrez-Aguilar, J. Ortega-Garcia, J. PDF

By J. Bigun, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez (auth.), Massimo Tistarelli, Josef Bigun, Enrico Grosso (eds.)

Automatic individual authentication, the identity and verification of someone as such, has more and more been stated as an important element of assorted protection functions. a variety of attractiveness and identity platforms were in line with biometrics using biometric gains reminiscent of fingerprint, face, retina scans, iris styles, hand geometry, DNA strains, gait, and others.

This ebook originates from a world summer season university on biometrics, held in Alghero, Italy, in June 2003. The seven revised educational lectures by means of best researchers introduce the reader to biometrics-based individual authentication, fingerprint attractiveness, gait attractiveness, a variety of features of face attractiveness and face detection, topologies for biometric popularity, and hand detection. additionally integrated are the 4 most sensible chosen pupil papers, all facing face recognition.

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Additional info for Advanced Studies in Biometrics: Summer School on Biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers

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In this case, we expect the machine to give consistent diagnoses and assessments of treatment that do not vary with the individual clinician, their training and experience, or their attentiveness at any particular moment. Although improvements in human athletic performance are not likely to have an impact on quality of life for most people, athletics do have value as a source of entertainment. To that end, there is interest in evaluating human motion to predict athletic potential, or evaluate training.

Fig. 7. Typical system for testing performance of gait recognition and other biometric systems. Two broad approaches to evaluation have emerged. The first is to estimate the rate of correct recognition, while the second is to compare the variations in a population versus the variations in measurements. Neither method is entirely satisfactory, but they both provide insights into performance. We discuss both approaches in the remainder of this section. 2 29 Recognition Rate Estimating the rate of correct recognition for a gait biometric has an intuitive appeal.

Bayesian-based performance prediction for gait recognition. : Passive dynamic walking. : Passive walking with knees. In: IEEE International conference on Robotics and Automation. : An uncontrolled toy that can walk but cannot stand still. : The simplest walking model: stability, complexity, and scaling. : A 3-d passive-dynamic walking robot with two legs and knees. International Journal of Robotics Research (2001) In Press. : Temporal and spatial factors in gait perception that influence gender recognition.

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