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Titlebook: Biometric Authentication; First International Virginio Cantoni,Dimo Dimov,Massimo Tistarelli Conference proceedings 2014 Springer Internat

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https://doi.org/10.1007/978-3-319-12619-7o distinguish between neutral and some other expression: based on the displacement of important facial points (coordinates of edges of the mouth, eyes, eyebrows, etc.). Further the feature vectors are formed by concatenating the landmarks data from Supervised Descent Method, applying PCA and use the
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https://doi.org/10.1007/978-94-007-6476-7ris detection, in combination with image quantization, aimed at reducing the number of gray levels, and image thresholding, aimed at obtaining a tentative discrimination between foreground and background. The method has been tested on the CASIA-Iris-Interval Image database.
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https://doi.org/10.1007/978-3-319-13386-7activity recognition and understanding; authentication; biometrics; digital signatures; ear biometrics; e
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Virginio Cantoni,Dimo Dimov,Massimo TistarelliIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188165.jpg
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0302-9743 ET 2014, which was held in Sofia, Bulgaria, in June 2014. The 16 full papers presented in this volume were carefully reviewed and selected from 21 submissions. Additionally, this volume also contains 5 invited papers. The papers cover a range of topics in the field gait and behaviour analysis; iris
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