BTAS is a premier research conference focused on all aspects of biometrics. It is intended to have a broad scope, including advances in fundamental signal processing, image processing, pattern recognition, and statistical and mathematical techniques relevant to biometrics. Areas of coverage include biometrics based on voice, fingerprint, iris, periocular, face, handwriting, gait and other modalities, as well as multi-modal biometrics and new biometrics based on novel sensing technologies. Submissions will be rigorously reviewed, and should clearly make the case for a documented improvement over existing state-of-art. Experimental results for contributions in established areas such as voice, face, iris, fingerprint, and gait are encouraged to use the largest and most challenging existing publicly available datasets. Topics of interest include but are not limited to: 3D face recognition, anti-spoofing methods, biometric databases, biometric encryption, cancellable biometrics, covariate analysis, DNA biometrics, ear biometrics, face recognition, facial aging effects, fingerprint, gait, hand geometry, iris biometrics, large scale deployments, multi-biometric fusion, novel biometrics, novel sensors, ocular recognition, palmprint, performance evaluation, security and privacy, social impact analysis, soft biometrics, speaker recognition, template aging, template protection, usability studies and writer recognition.
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