Dissertation > Excellent graduate degree dissertation topics show

Face Recognition Based on PCA

Author: LiWenGe
Tutor: JiangWei
School: Shandong University
Course: Communication and Information System
Keywords: Pattern Recognition Face Recognition Preprocessing PCA Wavelet Analysis
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 917
Quote: 8
Read: Download Dissertation

Abstract


Face recognition is an active research field in identification technology of living things and the intelligent software of face recognition is significant to the new period such as anti-terrorism and synthesizing safety. Face recognition system uses human images as its recognition object. It adopts the technology of computer vision and image processing to find the contour of human faces and part of detail face features, then studies the recognition methods using the found features. At present, face recognition continues to be a hot topic in pattern recognition field due to its wide range of applications such as distinguishing somebody from others and controlling authority.Face recognition is a kind of technology which can complete to recognize face by processing and analyzing the face image in the computer, and extracting the representation of face image from the processed image. At present, there are many technologies of face recognition, and each of them has its special. This thesis not only introduces the background and research range of face recognition, but also introduces academic technique of face recognition. Furthermore, comparing those popular face recognition methods, we obtain the face representation by Principal Component Analysis (PCA).Changes in lighting can produce large variability in the appearance of faces and diminish the character information of faces. Therefore, due to changes of the environment illumination conditions, the face recognition rate suddenly drops in the actual system. Illumination problem is one of factors of affecting the face recognition. How to account for variable illumination problem is the difficulty of the research of face recognition. At present, the ways of solving the illumination problem can be classified into two categories: the imaged-based processing approach and the model-based approach. The imaged-based approaches are adopted to deal with illumination problem in the thesis.The main works are following as:(1) Preprocessing ways of face recognition are introduced in detail by BioID and YALE face database, which include: geometric normalization, histogram equalization, pixel gradation normalization. Then, I make the decomposition for the face images and extract the low frequency Sub-band, and make the simulation experiment.(2) The PCA face recognition way is detailed. At the same time, the traditional PCA is made the improvement, which drops operational complexity and improves the recognition rate and resistance noise performance.(3) The thesis implemented a prototype system of face recognition on basis of wavelet analysis and PCA.

Related Dissertations

  1. The Classification of High Dimsnsion Flew Field Based on Manifold Learning,V231.3
  2. The Research of the Fault Diagnoses Algorithm for the Liquid Rocket Engine Testing Bed Based on PCA-SVM,V433.9
  3. Research on Testing and Analyzing Technology for Time Parameter of Aerospace Relay,TM58
  4. Research on Algorithms of 2D Face Template Protection,TP391.41
  5. Research on Text Classification Based on Biomimetic Pattern Recongnition,TP391.1
  6. Study of Event Related Potentials Based on Chinese Auditory Cognition,R318.0
  7. Research on Recognition of Fabric Weave Pattern Based on Space-Frequency Domain,TS101.923
  8. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  9. Intrusion detection based on the ultrasonic echo envelope in the military security patrols,E919
  10. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  11. GC-MS Analysis of Endogenous Metabolites in Plasma of Police Dog after Aflatoxicosis,S858.292
  12. A Preliminary Study on Bare Soil Extraction and Its Moisture Retrieval from High Resolution SAR Data,S152.7
  13. Research of Video Face Recognition Based on Weighted Voting and Key-Frame Extraction,TP391.41
  14. Face Recognition Method Based on DE,TP391.41
  15. Application of Functional MR Imaging in Diagnose for Prostate Cancer,R737.25
  16. Image Restoration Method Research and Its Application Based on Probability PCA,TP391.41
  17. Research on Face Recognition Methods Based on Flexible Neural Tree,TP391.41
  18. Research Implementation of Crack Detection Method Based on Its Acoustic Property,TP274
  19. Research on Key Technologies of Turning Expert System Based on SE300,TP182
  20. Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
  21. Improved Mathematical Model of Spatial Information Processing Based on Fuzzy Technology,O159

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