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Titlebook: Biometric Authentication; International ECCV 2 Massimo Tistarelli,Josef Bigun,Anil K. Jain Conference proceedings 2002 Springer-Verlag Berl

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發(fā)表于 2025-3-21 19:31:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biometric Authentication
期刊簡稱International ECCV 2
影響因子2023Massimo Tistarelli,Josef Bigun,Anil K. Jain
視頻videohttp://file.papertrans.cn/189/188164/188164.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biometric Authentication; International ECCV 2 Massimo Tistarelli,Josef Bigun,Anil K. Jain Conference proceedings 2002 Springer-Verlag Berl
影響因子Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources. Biometric authentication is a challenging pattern recognition problem; it involves more than just template matching. The intrinsic nature of biometric data must be carefully studied, analyzed, and its properties taken into account in developing suitable representation and matching algorithms. The intrinsic variability of data with time and environmental conditions, the social acceptability a
Pindex Conference proceedings 2002
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書目名稱Biometric Authentication影響因子(影響力)




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Face Recognition Based on ICA Combined with FLDiscriminant) and have proposed our (ICA+FLD) method. In the experimental results, we report that our (ICA+FLD) method has better performance than ICA only based methods as well as other representative methods such as Eigenface and Fisherface methods.
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Dimensionen der Hochaltrigkeit, PCA is applied before LDA, discouraged the fusion of such algorithms. In this paper, we show that PCA and LDA can be fused with some simple strategies, and such fusion allows outperforming the best individual verification algorithm based on PCA or LDA.
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https://doi.org/10.1057/9780230109865input image. A Bayesian framework is used to perform a finer classification and makes the skin and face detection process invariant to scale and lighting conditions. Finally, a face shape based model is used to validate or not the face hypothesis on each skin region.
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