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Titlebook: Biometric Recognition; 7th Chinese Conferen Wei-Shi Zheng,Zhenan Sun,Jianhuang Lai Conference proceedings 2012 Springer-Verlag Berlin Heide

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21#
發(fā)表于 2025-3-25 07:02:54 | 只看該作者
A Performance Improvement Method for Existing Fingerprint Systemsngerprint systems, the performance improvement method is very practical and instructive to not only the existing fingerprint systems but also the next biometric systems. In this paper, we propose a novel performance improvement method based on fingerprint’s M?bius representation and Choquet integral
22#
發(fā)表于 2025-3-25 10:03:59 | 只看該作者
23#
發(fā)表于 2025-3-25 12:30:13 | 只看該作者
Palmprint Feature Extraction Based on Improved Gabor Wavelet Combing LBP Operatorirstly, the spectrum measured is used to accurately select the direction of Gabor filter, where the amplitude of the Gabor wavelet is directly convolved with the palmprints to obtain Gabor images. Secondly, LBP operator is applied to get the texture images, while the histogram information is extract
24#
發(fā)表于 2025-3-25 16:08:08 | 只看該作者
25#
發(fā)表于 2025-3-25 21:09:56 | 只看該作者
26#
發(fā)表于 2025-3-26 00:41:09 | 只看該作者
A Survey of Face Hallucinationbeen an active research topic in the last decade. This paper makes a survey of approaches to high quality face hallucination by looking at theoretical backgrounds and practical results. The strengths and weaknesses of these approaches are identified to form a base for a new sparsity-based method for super-resolving mis-aligned face images.
27#
發(fā)表于 2025-3-26 06:48:55 | 只看該作者
Wei-Shi Zheng,Zhenan Sun,Jianhuang LaiFast track conference proceedings.Unique visibility.State of the art research
28#
發(fā)表于 2025-3-26 09:10:51 | 只看該作者
29#
發(fā)表于 2025-3-26 13:12:00 | 只看該作者
30#
發(fā)表于 2025-3-26 20:30:22 | 只看該作者
Sílvia Melo-Pfeifer,Mara Th?lkess. In this paper, taking advantage of the equivalence between LDA and the least square problem, we propose a new fusion method for face classification, based on the combination of least square solutions for local mean and local texture into multiple optimization problems. Extensive experiments on AR
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