| 书目名称 | Cross Disciplinary Biometric Systems | | 编辑 | Chengjun Liu,Vijay Kumar Mago | | 视频video | | | 概述 | Latest research in Cross Disciplinary Biometric Systems.Includes applications to face recognition, iris recognition and fingerprint recognition.Written by leading experts in the field | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 描述 | Cross 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 varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frame | | 出版日期 | Book 2012 | | 关键词 | Biometric Systems; Face Recognition; Fingerprint Recognition; Intelligent Systems; Iris Recognition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-28457-1 | | isbn_softcover | 978-3-642-42840-1 | | isbn_ebook | 978-3-642-28457-1Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer Berlin Heidelberg 2012 |
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发表于 2025-3-21 19:44:33
