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 anyone as such, has more and more been said as an important point of assorted protection functions. a number of attractiveness and identity structures were in response to biometrics using biometric beneficial properties corresponding to fingerprint, face, retina scans, iris styles, hand geometry, DNA strains, gait, and others.

This booklet originates from a world summer season college on biometrics, held in Alghero, Italy, in June 2003. The seven revised educational lectures by way of prime researchers introduce the reader to biometrics-based individual authentication, fingerprint reputation, gait attractiveness, quite a few facets of face popularity and face detection, topologies for biometric popularity, and hand detection. additionally incorporated are the 4 top chosen pupil papers, all facing face recognition.

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

Example text

Small-area scanners do not allow a whole fingerprint to be captured, and the users encounter difficulties in re-presenting the same portion of the finger. This may result in a small overlap between different acquisitions of the same finger, leading to false non-match errors. • Number of pixels: The number of pixels in a fingerprint image can be simply derived by the resolution and the fingerprint area: a scanner working at r dpi over an area of height(h) × width(w) inch2 has rh × rw pixels. • Dynamic range (or depth): This denotes the number of bits used to encode the intensity value of each pixel.

1 Introduction A fingerprint-based biometric system is essentially a pattern recognition system that recognizes a person by determining the authenticity of her fingerprint. Depending on the application context, a fingerprint-based biometric system may be called either a verification system or an identification system: • a verification system authenticates a person’s identity by comparing the captured fingerprints with her own biometric template(s) pre-stored in the system. It conducts one-to-one comparison to determine whether the identity claimed by the individual is true; • an identification system recognizes an individual by searching the entire template database for a match.

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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