Dissertation > Excellent graduate degree dissertation topics show
The Design of Identification System for Power Marketing Services
Author: YangJun
Tutor: OuYuanHanï¼›YiZhiHua
School: Guangxi University
Course: Computer technology
Keywords: Biometric Face Recognition Artificial Neural Networks ORL Power Marketing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 21
Quote: 0
Read: Download Dissertation
Abstract
|
There are a lot of customer identification requirements in the field of electric power marketing services , primarily through the unique number of electricity customers by the business service personnel manual verification . With the rapid development in recent years, the biometric technology in security field , there have been more automatic recognition application case of the identity of customers . In -depth analysis of biometric identification technology , especially the course of development of the face recognition technology , the full summary of this stage has been the basis of the results based on the implementation of power marketing services status and information technology hardware and software resources , design and implementation of a The sets of identity of customers automatic identification system . The system uses image processing technology to customers face image preprocessing , dimensionality reduction and feature vectors extracted using PCA neural network using BP neural network to classify and achieved through collaboration and data sharing with other power marketing management information system on automatically recognize the identity of electricity customers . The system algorithm , experiments using the C programming language to achieve , through a large number of experimental data shows that the : ORL database based on the PCA neural network 600 , BP neural network training more than 30,000 times , can be obtained recognition success rate of about 90% ; packet identification and other technical measures by expanding the size of the sample library , can effectively improve the recognition success rate . Prove the design and implementation of the system completely meet the power requirements of practical application of the field of marketing services , to find the entry point for the introduction of face recognition technology in the field of electric power marketing services . Finally, the combination of China Southern Power Grid Company of project construction and operation and maintenance of information technology management standards , the design of the automatic identification system set to meet the power production of the practical requirements of the customers' identity .
|
Related Dissertations
- High Speed Frequency Measurment and Non-Linearity Correction of Frequency Modulated Capacitive Displacement Sensor,TH822
- Research on Algorithms of 2D Face Template Protection,TP391.41
- Research on Secure Fingerprint Authentication Based on Distance Projection Coding,TP391.4
- Spectrum Variation of Vegetation in Yanzhou Coal Mine Area and Heavy Metal Stress Characteristic,X173
- Research on Face Recognition Methods Based on Flexible Neural Tree,TP391.41
- Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
- Research Onamethod for Human Face Recognition Based on MMTD,TP391.41
- Researches on the Application of the Neuron-MOS in the Neural Network,TP183
- The Research on Neural Network with Quadratic Denominator Cubic Rational Spline Function Weight and Its Application,TP183
- The image -based face recognition system design and implementation beautification,TP391.41
- Face recognition algorithm based on feature fusion research,TP391.41
- Slurry pipeline transportation system, process monitoring and fault diagnosis,F426.1
- Based on wavelet transform and linear subspace face recognition technology,TP391.41
- Helicopter main gearbox fault diagnosis and failure prediction technology research,V267
- Expression of face recognition algorithm based on sparse research,TP391.41
- Color Face Detection and Recognition,TP391.41
- Under the conditions of variable lighting and occlusion of face recognition technology and its application,TP391.41
- Artificial neural network applications in busbar protection,TP183
- The Index System of Risk Warning and Evealuation for Zhangshang Enterprise,F279.27
- Research and Implementation of Website Code Recognition Based on RPROP Artificial Neural Network,TP393.08
CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net Mobile
|