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Titlebook: Cross Disciplinary Biometric Systems; Chengjun Liu,Vijay Kumar Mago Book 2012 Springer Berlin Heidelberg 2012 Biometric Systems.Face Recog

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11#
發(fā)表于 2025-3-23 10:15:52 | 只看該作者
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發(fā)表于 2025-3-23 15:49:18 | 只看該作者
Various Discriminatory Features for Eye Detection,ion problem. Experiments using the Face Recognition Grand Challenge (FRGC) version 2 database show that the DFE method is able to improve the discriminatory power of the five types of discriminatory features for eye detection. In particular, the experimental results reveal that the discriminatory HO
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發(fā)表于 2025-3-23 19:05:01 | 只看該作者
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發(fā)表于 2025-3-24 00:19:22 | 只看該作者
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發(fā)表于 2025-3-24 02:30:08 | 只看該作者
Book 2012ed, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search sys
16#
發(fā)表于 2025-3-24 06:59:21 | 只看該作者
1868-4394 ion.Written by leading experts in the fieldCross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as var
17#
發(fā)表于 2025-3-24 14:19:11 | 只看該作者
Was ist an Mathematik schon lustig?s well as from the Gabor filtered whole face image are fused together by means of the sum rule. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 and the CMU Multi-PIE database show the feasibility of the proposed GDF method.
18#
發(fā)表于 2025-3-24 18:14:06 | 只看該作者
Günter Neroth,Dieter Vollenschaaror the overall similarity computation. To alleviate the effect of illumination variations, an illumination normalization procedure is applied to the . component image. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show the feasibility of the proposed frequency and color fusion method.
19#
發(fā)表于 2025-3-24 20:16:54 | 只看該作者
Günter Neroth,Dieter Vollenschaarinciples of minutiae-based techniques and local minutiae descriptors are discussed, then the MCC approach is described in detail. Experimental results on standard benchmarks such as FVC2006 and FVC-onGoing are reported to show the great accuracy and efficiency of MCC.
20#
發(fā)表于 2025-3-25 01:22:06 | 只看該作者
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