The Design And Implementation Of Iris Experiment Platform Based On Modular Multi-algorithm

In modern society,the security of identity authentication is an important direction for people to pay more and more attention.And the use of human biometric information to identify the identity of the technology is currently the highest safety performance of a technology.In the biological information recognition technology,iris recognition is a recognition technology with high recognition accuracy,which has obvious advantages over other biometrics in terms of stability,uniqueness,acceptability and so on.The author of the subject group on the iris recognition has been carried out for many years of research,in the process of iris recognition,there are several processes such as quality evaluation,iris location,iris image normalization,iris image enhancement,iris feature extraction,iris feature comparison and so on.Each process has different algorithms,Such as calculus circular template detection positioning method,non-concentric positioning method,Spline fitting algorithm and other positioning methods,feature extraction method based on gabor filter,wavelet zero-crossing feature extraction method,SVM classification method and so on.We need an iris recognition platform to combine and test the existing algorithms in order to get an efficient iris algorithm in the existing algorithm.The iris recognition experiment platform designed and implemented in this paper enables the modular development of each algorithm,encapsulates the algorithm into a dynamic link library of reserved interfaces.The whole process of the experiment flow is refined into the operation of the algorithm module of each node of the process,and the experiment process of the specified algorithm can be easily set up on the platform.So that the construction of the experimental flow more convenient and flexible.In this paper,the background of iris recognition is briefly introduced,and then therelevant process nodes and their specific algorithms in iris recognition process are analyzed concretely.The author makes a detailed analysis of the requirements of the experimental platform,and established the relevant model.Then,according to the relationship between the process node and the algorithm module in the iris experiment process,the storage structure of the N-hop tree is established,which is convenient for its query and processing,as well as the construction of the process template and the experimental flow.The input and output information of the algorithm module is analyzed,the interface of the algorithm module is standardized,and the encapsulation of each algorithm module is completed.And then establishes the structure of the process template,to meet the logical relationship between the process nodes under the premise of the maximum expansion of the freedom of the process template.The experimental flow engine is designed and implemented,and the instant transformation of the process template to the experimental flow is completed,which realizes the automatic operation of the experimental flow.Using the established experimental platform,you can test the results of any single algorithm module.But also in the process of meeting the logical relationship between the nodes under the premise,you can arbitrarily combine the existing process node.And can be based on user needs,custom add process node and its algorithm module.You can implement user-defined experimental flow or testing the results.Different algorithm modules under the process node can be replaced in the experimental flow,on the platform can be achieved under the same process,the same process node below the different algorithm module recognition accuracy rate comparison.Finally,according to the experimental flow algorithm module,we can construct the iris recognition identity authentication system,and transform the test results of the experimental platform into practical application.