Hybrid multi biometric person authentication system
Số trang: 6
Loại file: pdf
Dung lượng: 1.07 MB
Lượt xem: 18
Lượt tải: 0
Xem trước 1 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
In this paper, the authors present a hybrid multibiometric authentication person system that integrates both multi modal and multi algorithmic. Multi-modal, the system using face and fingerprint features, has long been considered common in personal authentication. Multi-algorithm is the system which uses Circularly Orthogonal Moments, such as Zernike Moment (ZM), Pseudo Zernike Moment (PZM), Polar Cosine Transform (PCT) and Radial Basis Function (RBF) Neural Networks. These moments are widely used because their magnitudes are invariant to image rotation, scaling and noise.
Nội dung trích xuất từ tài liệu:
Hybrid multi biometric person authentication system
Nội dung trích xuất từ tài liệu:
Hybrid multi biometric person authentication system
Tìm kiếm theo từ khóa liên quan:
International Journal of Computer Science & Communication Networks Hybrid multi biometric person authentication system Pseudo Zernike Moment Circularly Orthogonal Moments Radial Basis FunctionGợi ý tài liệu liên quan:
-
Exploring web mining for auditing social networking: A clustering approach
5 trang 39 0 0 -
Reliable and efficient storage solution using multiple cloud services
6 trang 31 0 0 -
Emerging trends of cyber security in segregating approach
5 trang 29 0 0 -
A review on role of expert system in banking sector
4 trang 29 0 0 -
An estimating routing technique for node mobility and route validity using manet
6 trang 28 0 0 -
Secure access policy schema using multiple cloud authorities
7 trang 27 0 0 -
Online and offline intrusion alert aggregation
6 trang 25 0 0 -
Secure cloud data storage with efficient key exposure
7 trang 24 0 0 -
A framework for adaptive QoS of web services using replication
7 trang 23 0 0 -
Software testiang techniques for faults/ errors detection
5 trang 22 0 0