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Titlebook: Selfie Biometrics; Advances and Challen Ajita Rattani,Reza Derakhshani,Arun Ross Book 2019 Springer Nature Switzerland AG 2019 Biometrics.M

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發(fā)表于 2025-3-21 19:38:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Selfie Biometrics
副標(biāo)題Advances and Challen
編輯Ajita Rattani,Reza Derakhshani,Arun Ross
視頻videohttp://file.papertrans.cn/865/864602/864602.mp4
概述Presents the first comprehensive book on state-of-the-art methods for “selfie” face, finger and ocular biometrics for mobile user authentication.Reviews the latest developments on privacy, security, u
叢書(shū)名稱Advances in Computer Vision and Pattern Recognition
圖書(shū)封面Titlebook: Selfie Biometrics; Advances and Challen Ajita Rattani,Reza Derakhshani,Arun Ross Book 2019 Springer Nature Switzerland AG 2019 Biometrics.M
描述.This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices.?Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. ..However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones...Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile
出版日期Book 2019
關(guān)鍵詞Biometrics; Mobile Biometrics; Selfie Biometrics; Pattern Recognition; Computational Biometrics
版次1
doihttps://doi.org/10.1007/978-3-030-26972-2
isbn_softcover978-3-030-26974-6
isbn_ebook978-3-030-26972-2Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 21:15:21 | 只看該作者
Introduction to Selfie Biometrics,martphones, smartphone cameras have made substantial progress in image resolution, aperture size, and sensor size. These advances facilitate the use of selfie biometrics such as the self-acquired face, fingerphoto, and ocular region for mobile user authentication. This chapter introduces the topic o
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發(fā)表于 2025-3-22 00:57:04 | 只看該作者
User Authentication via Finger-Selfiesgnition-based unlocking are gaining popularity. However, the additional cost of installing fingerprint sensors on smartphones questions the use of fingerprints. Alternatively, finger-selfie, an image of a person’s finger acquired using a built-in smartphone camera, can act as a cost-effective soluti
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發(fā)表于 2025-3-22 09:12:26 | 只看該作者
MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition growing demand for self-handled authentication strategies. The increasing number of remote services of various kinds corresponds to an increasing number of passwords to use and remember, and also to the growth of the password theft risk, due to the increasing value of the protected resources. The o
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發(fā)表于 2025-3-22 16:02:42 | 只看該作者
Super-resolution for Selfie Biometrics: Introduction and Application to Face and?Iris, severely affecting the accuracy of recognition systems if not tackled appropriately. In this chapter, we give an overview of recent research in super-resolution reconstruction applied to biometrics, with a focus on face and iris images in the visible spectrum, two prevalent modalities in selfie bi
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發(fā)表于 2025-3-22 23:51:23 | 只看該作者
Selfies for Mobile Biometrics: Sample Quality in Unconstrained Environments on a smartphone: positioning the camera, adjusting the pose, choosing the right background and looking for the best lighting conditions. In the context of face authentication, most of the standardised processes and best practice for image quality is mainly focused on passport images and only recent
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