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

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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 a person as such, has more and more been stated as an important point of varied safety functions. quite a few reputation and id structures were in accordance with biometrics using biometric beneficial properties reminiscent of fingerprint, face, retina scans, iris styles, hand geometry, DNA strains, gait, and others.

This booklet originates from a global summer time university on biometrics, held in Alghero, Italy, in June 2003. The seven revised instructional lectures through major researchers introduce the reader to biometrics-based individual authentication, fingerprint reputation, gait popularity, numerous features of face reputation and face detection, topologies for biometric reputation, and hand detection. additionally integrated are the 4 most sensible chosen scholar papers, all facing face recognition.

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

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C). The echo signal is used to compute the range image of the fingerprint and, subsequently, the ridge structure itself. Good quality images may be obtained by this technology. However, the scanner is large with mechanical parts and quite expensive. Moreover, it takes a few seconds to acquire an image. Hence, this technology is not yet mature enough for large-scale production. Table 1 lists some commercial scanners designed for the non-AFIS markets, whose cost is less than $200 US. Except for ultrasound scanners, which are not ready for mass-market applications yet, Table 1 includes at least one scanner for each technology.

3 Temporal Patterns in Self-Similarity As a person walks, the configuration of their body repeats periodically. For this reason, images in a gait sequence tend to be similar to other images in the sequence when separated in time by the period of the gait (the time between left foot strikes) and half the period (the time between left and right foot strikes). Fig. 11 illustrates this point. Ben-Abdelkader et al. [38] exploit this self similarity to create a representation of gait sequences that is useful for gait recognition.

Statistical principles in experimental design. : Gait recognitin using static activity-specific parameters. In: Computer Vision and Pattern Recognition 2001. : Directional statistics. : Recognizing people by their gait: the shape of motion. E. J. : Eigengait: motion-based recognition of people using image self-similarity. : Zernike velocity moments for description and recognition of moving shapes. : Automatic extraction and description of human gait models for recognition purposes. : Synchronization of oscillations for machine perception of gait.

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