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Can I read Cross Disciplinary Biometric Systems (intelligent Systems Reference Library) on EtoBox?
Cross Disciplinary Biometric Systems (intelligent Systems Reference Library) by Chengjun Liu, Vijay Kumar Mago (auth.) is a computer science book available to read on EtoBox.
What is Cross Disciplinary Biometric Systems (intelligent Systems Reference Library) about?
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 performan
Who reads Cross Disciplinary Biometric Systems (intelligent Systems Reference Library)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Chengjun Liu, Vijay Kumar Mago (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2012
- Language
- EN
- ISBN
- 9783642284571
- Category
- computer science
- Subjects
- Engineering, Science, Biology
- Updated
- 2026-03-25
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