Research On Synergetic Recognition Theory And Its Applications In Biometrics

Since Prof. Haken introduced synergetics methods to pattern recognition,lots of researches have been kept on investigating. Synergetic recognition theory has been applied to pattern recognition and many other fields. Biometrics techniques are considered as the best person authentication method,but there is lots of work to be done. How to improve the recognition speed,veracity and robustness of the system is still the challenge in the fields.This dissertation deals with the researches on synergetic recognition theory,and applies the theory research work to biometrics. Aiming at the shortages of biometrics methods in existence,we present novel approaches of fingerprint and face recognition for person authentication based on global features.The main work and contributions of the dissertation are summarized as follows:Firstly,we introduce the fundamental principle,mathematics model and key concepts of synergeics. On the basis of the principal equation of synergeics,we detail synergetic recognition theory,including the mathematics model,network realization,key concepts,recognition process and key techniques.Secondly,we systematically discuss the synergetic recognition theory. And then we propose a novel synergetic learning algorithm based on K-mean cluster,and present a new synergetic recognition approach based PCA features extraction,which is a pattern global features recognition method. We also abstractly analyze the parameters of synergetic recognition approach,and purpose a novel parameters optimization method based on simulated annealing mechanism.Thirdly,we introduce biometrics techniques,especially fingerprint recognition and face recognition in detail. We discuss the following content such as their development history,main methods and key techniques,and application fields and development current.Finally,we point out the importance of biometrics based global features,and the combination idea with synergetic recognition theory. Then,we purpose synergetic fingerprint recognition and synergetic face recognition method based on global features,and improve the biometrics recognition performance using multiple classifiers fusion approach.