By J. Bigun, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez (auth.), Massimo Tistarelli, Josef Bigun, Enrico Grosso (eds.)
Automatic individual authentication, the id and verification of anyone as such, has more and more been stated as an important point of varied safeguard purposes. a variety of reputation and id structures were according to biometrics using biometric beneficial properties comparable to fingerprint, face, retina scans, iris styles, hand geometry, DNA lines, gait, and others.
This booklet originates from a world summer season college on biometrics, held in Alghero, Italy, in June 2003. The seven revised instructional lectures by means of best researchers introduce the reader to biometrics-based individual authentication, fingerprint popularity, gait acceptance, a number of elements of face acceptance and face detection, topologies for biometric acceptance, and hand detection. additionally incorporated are the 4 most sensible chosen pupil papers, all facing face recognition.
Read Online or Download Advanced Studies in Biometrics: Summer School on Biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers PDF
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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
16). They then use these values in a feature vector for recognition. Although the features include cadence, the method uses no timing information from the gait so we classify it as quasi gait recognition. Using the full feature set, they achieved a recognition rate of 49% with a sample size of 45, acquired over two days. They also look at subsamples to determine the rate at which performance deteriorated with sample size. The results are plotted in Fig. 8. E. J. Little Fig. 16. Gait features measured by Ben-Abdelkader et al.
Example of Lucas and Kanade  least squares optical ﬂow: (a) original image from a sequence, (b) validity map, and (c) x- and (d) y-direction optical ﬂow. In (b) black, gray and white mean no ﬂow, gradient ﬂow and least-squares ﬂow respectively. In (c) and (d) gray is zero, black is negative (left/up), and white is positive (right/down). Region-matching optical ﬂow algorithms compute ﬂow by comparing regions in consecutive images of a sequence. When regions match, the algorithms conclude that the region has moved and sets the ﬂow accordingly.
Almost all the existing sensors belong to one of the three families: optical, solid-state, and ultrasound. • Optical sensors. Frustrated Total Internal Reflection (FTIR) is the oldest and most used live-scan acquisition technique today. a); the left side of the prism is illuminated through a diffused light. The light entering the prism is reflected at the valleys, and absorbed at the ridges. The lack of reflection allows the ridges to be discriminated from the valleys. The light rays exit from the right side of the prism and are focused through a lens onto a CCD or CMOS image sensor.
Advanced Studies in Biometrics: Summer School on Biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers by J. Bigun, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez (auth.), Massimo Tistarelli, Josef Bigun, Enrico Grosso (eds.)