Dissertation > Excellent graduate degree dissertation topics show
The Design of Authentication in the Small-Scale Import and Export Monitoring Systerm
Author: LiuZuo
Tutor: LiChunMing
School: Hebei University of Science and Technology
Course: Measuring Technology and Instruments
Keywords: Authentication Face Recognition PCA algorithm
CLC: TP277
Type: Master's thesis
Year: 2010
Downloads: 27
Quote: 0
Read: Download Dissertation
Abstract
|
The rapid development of information technology authentication credibility and convenient update requirements , traditional authentication methods have been unable to meet these new requirements , biometric authentication has become a hot topic . Face recognition is the concrete application of pattern recognition technology in the field of image , its application prospects are very bright as a typical biometric recognition , face recognition its natural , acceptability acquisition convenience advantages by the people all ages , can be applied to the identification of identity documents , automatic access control system , the Criminal Investigation detection , video surveillance , home security , and other fields . This paper first introduces the existing face recognition algorithm , PCA face recognition algorithm based on image vector and classic PCA algorithm which identify the shortcomings of the classic details , the PCA algorithm that can improve the recognition rate joined image preprocessing stage , i.e. before doing identification algorithm , so it can effectively improve the recognition rate . Then, in the two - dimensional principal component analysis (2DPCA) face recognition algorithm based on an improved 2DPCA algorithm ( M - 2DPCA ) . In normal circumstances , M-2DPCA and 2DPCA identification of rate close to a recognition rate higher than the PCA algorithm joined pretreatment . But M-2DPCA and the 2DPCA method in the reconstruction of higher space complexity and time complexity reconstruction to take up more memory , the practical application of the system can not provide a large enough memory Select to join the PCA algorithm for image preprocessing . In summary , this paper realized the added image preprocessing PCA method used in the process of implementation in the system based on improved PCA face recognition system , the recognition rate of the system to improve . Authentication system design , in addition to the optimization algorithm , more emphasis on system design , the performance of the algorithm can play .
|
Related Dissertations
- Research on Algorithms of 2D Face Template Protection,TP391.41
- Research on Transparent Security of JPEG Image,TP391.41
- Study on Legal Issues in Concluding Electronic Commerce Contract,D923
- Research of Video Face Recognition Based on Weighted Voting and Key-Frame Extraction,TP391.41
- Face Recognition Method Based on DE,TP391.41
- Based on Sub-pattern Locality Preserving Projection Approaches Research for Race Recognition,TP391.41
- Research of Sparse Represention Based Face Recognition Algorithm,TP391.41
- A Novel Approach for Projection by Optimize Local Area in Face Recognition Applications,TP391.41
- Research on Deep Structure Learning Algorithms Based on Dynamic Fuzzy Relation,TP181
- The Study of 3d Face Recognition System,TP391.41
- 3D Face Recognition Based on Biomimetic Pattern Recognition,TP391.41
- Face Recognition Research Based on Manifold Learning,TP391.41
- The Research for Face Recognition Based on Pseudo-Zernike Moment and BP Network,TP391.41
- Research on the Key Technique in Face Recognition,TP391.41
- Research on Face Recognition Methods Based on Flexible Neural Tree,TP391.41
- Research password authentication key agreement protocol based,TN918.1
- Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
- Distributed Ad Hoc network part of key management and authentication scheme,TN929.5
- An Illumination Independence Face Recognition Algorithm Based on Gabor and SVM,TP391.41
- Research on the Low-cost RFID Systems Security Protocol,TP391.44
- Research Onamethod for Human Face Recognition Based on MMTD,TP391.41
CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
© 2012 www.DissertationTopic.Net Mobile
|