Dissertation > Excellent graduate degree dissertation topics show

Composite biometric authentication algorithms

Author: XuTaiZheng
Tutor: XuZhongYu
School: Changchun University of
Course: Applied Computer Technology
Keywords: Compounding bio-certification Face recognition Iris recognition Principal component analysis Fisher distinguishing
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 24
Quote: 0
Read: Download Dissertation

Abstract


Compounding bio-certification is the information fusion of a variety of biological features, such systems integrate the source data provided by multiple biological characteristics to make a more accurate and efficient identification of finds. Technology of Data fusion is a message from the effective integration of all aspects of dealing with new theories and technologies. Data fusion, also known as information fusion, refers to data from multiple sensors to conduct multi-level, multi-faceted, multi-level processing, and thus get more detailed, more meaningful new information. This new information can not be obtained from any single sensor.The basic goal of most of data fusion is to obtain more accurate information through the integration of data than the data obtained from any single, for which explicit fusion algorithm is particularly important.At First, this article analysisese a detailed account of the complex status of biometric research, biometric types and processes and their commonly used fusion algorithm, then construct a human face and iris recognition systems, it introduces the complex process through this system and verify biometric fusion algorithm effectiveness. It introduces the way of multi-template positioning Face through the Face identification, and use the human eye, face pairs of the template locates the face, collect facial feature by combining with Adaboost algorithm and principal component analysis. It Introduces the iris location through the iris recognition from the iris to the iris image enhancement, normalized as the number of iris feature extraction process, uses randomized Hough transform based fast detection way of circle to detect the internal and external circular position of the iris, extracts the iris phase-coded information through the complex two-dimensional Gabor transform.On the extracted features of face and iris information, we put forward the data fusion algorithm by using the Combination Fisher discriminated and majority of voting.At first, use the Fisher discriminated function to combine two kinds of feature information fusion, and finally determine the final by majority voting method,. At last, test and verify the feasibility of the algorithm by experiment and then get a higher recognition rate.

Related Dissertations

  1. Application of Improved Principal Component Analysis Algorithm in Course Construction,G642.4
  2. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421
  3. Zhaoguan Lower Coal Group water inrush prediction and control techniques,TD745
  4. Prediction of Binding Affinity of Human Transporter Associated with Antigen Processing,R392.1
  5. Image Quality Assessment Algorithms in Iris Recognition,TP391.41
  6. Iris Localization Algorithms,TP391.41
  7. The Research and Realization of the Military Port Objects Classification Platform,TP751
  8. Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
  9. Research on Location Algorithm of Iris Recognition,TP391.41
  10. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  11. An Illumination Independence Face Recognition Algorithm Based on Gabor and SVM,TP391.41
  12. Face Recognition Based on Near-Infrared Images,TP391.41
  13. Stock Selection Based on Multi-Class SVMs,F224
  14. Research of Preprocess Technique for 3D Space Handwriting Based on 3D Accelerometer,TP212
  15. Study on Rapid Detection of Edible Vegetable Oil,TP274
  16. Fault Diagnosis on Tennessee-Eastman Process,TQ021.8
  17. Visual underwater target detection and recognition,TP391.41
  18. Fault Diagnosis on Fuel Control System of a Certain Aero-engine,V263.6
  19. Data Driven Rolling Bearing Fault Diagnosis Research,TH165.3
  20. Research on the Key Technology of Iris Recognition,TP391.41
  21. Correlation among Agronomic and Quality Traits and Genetic Diversity in Exotic Sugarcane Germplasm,S566.1

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