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Titlebook: Audio- and Video-based Biometric Person Authentication; First International Josef Bigün,Gérard Chollet,Gunilla Borgefors Conference procee

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發(fā)表于 2025-3-21 19:38:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Audio- and Video-based Biometric Person Authentication
期刊簡(jiǎn)稱First International
影響因子2023Josef Bigün,Gérard Chollet,Gunilla Borgefors
視頻videohttp://file.papertrans.cn/165/164983/164983.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Audio- and Video-based Biometric Person Authentication; First International  Josef Bigün,Gérard Chollet,Gunilla Borgefors Conference procee
影響因子This book constitutes the refereed proceedings of the First International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA‘97, held in Crans-Montana, Switzerland, in March 1997..The 49 revised papers presented were carefully reviewed and selected by the program committee for inclusion in the book; also included are four invited contributions. The papers are organized in sections on facial features localisation, lip and facial motion, visual non-face biometrics, face-based authentication, text-dependent speaker authentication, text-independent authentication, audio-video features and fusion, and systems and applications.
Pindex Conference proceedings 1997
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Using gait as a biometric, via phase-weighted magnitude spectra,eighbour rule. Experimental analysis shows how phase-weighted Fourier magnitude spectra afford an improved classification rate over use of just magnitude spectra. Accordingly, it appears that it is not just the frequency content which makes gait a practical biometric, but its phase as well.
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Discriminant analysis for recognition of human face images,tion scheme for AFR. Soft decisions made based on each of the projections are combined, using probabilistic or evidential approaches to multisource data analysis. For medium-sized databases of human faces, good classification accuracy is achieved using very low-dimensional feature vectors.
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The Thermal History of the Universenhances a standard feature extraction technique with an analytic approach, which can be applied to the whole face without priming of estimates of eye position and size. In a database of 54 eyes this new method is shown to be less constrained, more robust and resulted in a three-fold improvement in accuracy over using the standard HT.
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