NDLI: A taxonomy for physics based synthetic biometric models

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2007 IEEE Workshop on Automatic Identification Advanced Technologies

Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05)

Proceedings. Fourth IEEE Workshop on Automatic Identification Advanced Technologies

Fourth IEEE Workshop on Automatic Identification Advanced Technologies [Table of contents]

Conference Organization

Statistical models for assessing the individuality of fingerprints

A taxonomy for physics based synthetic biometric models

The relation between the ROC curve and the CMC

Face recognition with renewable and privacy preserving binary templates

Cryptographic keys from dynamic hand-signatures with biometric secrecy preservation and replaceability

A technique for simultaneous multiple tag identification

Impedance matching concepts in RFID transponder design

Randomized pseudo-random function tree walking algorithm for secure radio-frequency identification

A sampling based approach to facial feature extraction

Real-time face verification system on a cell-phone using advanced correlation filters

Performance enhancement of 2D face recognition via mosaicing

PCA vs. automatically pruned wavelet-packet PCA for illumination tolerant face recognition

Evaluating liveness by face images and the structure tensor

Multi-tag radio frequency identification systems

Vehicle license plate location based on histogramming and mathematical morphology

Speaker recognition using features derived from fractional Fourier transform

Using volatile state storage for substantial improvement in RFID throughput

Fully automated facial symmetry axis detection in frontal color images

Speaker verification with combined threshold, identification front-end, and UBM

Experiments with an improved iris segmentation algorithm

A hybrid method for fingerprint image quality calculation

Analysis on spatial and temporal features of gait kinematics

The algorithm of iris image preprocessing

Accent classification in speech

Face recognition in the presence of expression and/or illumination variation

Hand geometry: a new approach for feature extraction

Automatic eye-level height system for face and iris recognition systems

A model-based sampling and sample synthesis method for auto identification in computer vision

A real-time image selection algorithm: fingerprint recognition using mobile devices with embedded camera

A floor sensor system for gait recognition

Security for energy constrained RFID system

An ultra-low power, optically-interrogated smart tagging and identification system

Design of UHF RFID emulators with applications to RFID testing and data transport

A low power and high performance analog front end for passive RFID transponder

Impact of singular point detection on fingerprint matching performance

A fast algorithm for ICP-based 3D shape biometrics

Acoustic ear recognition for person identification

Fusion of methods for keystroke dynamic authentication

Distance and matching for authentication by on-line signature

Off-angle iris recognition using bi-orthogonal wavelet network system

Gaussian mixture models based on the frequency spectra for human identification and illumination classification

Guidelines for appropriate use of simulated data for bio-authentication research

Face class code based feature extraction for face recognition

A taxonomy for physics based synthetic biometric models

Content Provider	IEEE Xplore Digital Library
Author	Buettner, D.J. Orlans, N.M.
Copyright Year	2005
Description	Author affiliation: Aerosp. Corp., Los Angeles, CA, USA (Buettner, D.J.)
Abstract	Computer generated "synthetic" biometrics are not widely used within the biometrics community beyond their current use as a research tool. Yet they offer a number of potential advantages that can be developed further to support the science and practical use of biometrics. Physics-based and intermediate-pattern generation of biometrics will require validation of the underlying statistical distributions if they are to be used as more than just a research tool. This paper proposes taxonomy for physics-based models to be used in the creation of synthetic biometrics.
Sponsorship	CUBS (Center for Unified Biometrics and Sensors) Ultra-Scan CUBRC
Starting Page	10
Ending Page	14
File Size	145356
Page Count	5
File Format	PDF
ISBN	0769524753
DOI	10.1109/AUTOID.2005.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Taxonomy Physics Biometrics Mathematical model Speech synthesis Statistical distributions Biosensors Fingerprint recognition Bioinformatics Equations
Content Type	Text
Resource Type	Article

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