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Titlebook: Applied Computation and Security Systems; Volume One Rituparna Chaki,Khalid Saeed,Nabendu Chaki Book 2015 Springer India 2015 Biometrics-ba

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31#
發(fā)表于 2025-3-26 22:05:48 | 只看該作者
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/a/image/159683.jpg
32#
發(fā)表于 2025-3-27 01:49:03 | 只看該作者
An Algorithm for Extracting Feature from Human Lipsof identification, recognition expressions and detection of people features. The introduced algorithm concerns about finding four points around the mouth: two for corners, one situated in center on the border of upper lips and the last on the border of lower lips, which next are used for creating feature vectors
33#
發(fā)表于 2025-3-27 07:58:25 | 只看該作者
34#
發(fā)表于 2025-3-27 13:18:29 | 只看該作者
35#
發(fā)表于 2025-3-27 13:59:09 | 只看該作者
https://doi.org/10.1007/978-81-322-1985-9Biometrics-based Authentication; Data Mining; Image Processing Techniques; Next Generation Networking; R
36#
發(fā)表于 2025-3-27 20:28:22 | 只看該作者
37#
發(fā)表于 2025-3-28 00:24:02 | 只看該作者
Complex Layers of Formal Neuronsof identification, recognition expressions and detection of people features. The introduced algorithm concerns about finding four points around the mouth: two for corners, one situated in center on the border of upper lips and the last on the border of lower lips, which next are used for creating feature vectors
38#
發(fā)表于 2025-3-28 03:01:35 | 只看該作者
An Algorithm for Extracting Feature from Human Lipsof identification, recognition expressions and detection of people features. The introduced algorithm concerns about finding four points around the mouth: two for corners, one situated in center on the border of upper lips and the last on the border of lower lips, which next are used for creating fe
39#
發(fā)表于 2025-3-28 06:15:36 | 只看該作者
Feature Selection using Particle Swarm Optimization for Thermal Face Recognitiones through many steps. In the very first step, thermal human face image is preprocessed and cropping of the facial region from the entire image is done. In the next step, scale invariant feature transform (SIFT) is used to extract the features from the cropped face region. The features obtained by S
40#
發(fā)表于 2025-3-28 12:06:17 | 只看該作者
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