At present, the social phenomena of cheating in the examinations have not been prohibited,and there are many high-tech means of committing offence.Traditional process of exam authentication can not fully identify and solve these problems.Authentication technology based on biometrics develops rapidly in recent years.We can effectively control these cheating behaviors by introducing this technology in order to maintain the fairness of the examination.Commonly used biometrics are fingerprint, iris, palm-type and shape of face and so on.If we only depend on one of these means to authenticate,it will reduce the applicability and accuracy because of lacking of human biological characteristics and other reasons.In this paper,the author uses multi-biometric characteristics such as fingerprint and iris to certificate the examination and improve the accuracy of the system.In this paper ,the author studies identification technology of fingerprint and iris. The author puts forward some suggestions in order to improve the efficiency based on traditional methods, which includes the assessment of the quality of fingerprint image acquisition, calculation method by using the template of the fingerprint image based on direction pattern and location method by using scanning method of geometric segment to carry out inner and outer of the circle of iris.The key of multi-biometric identification technology is to observe the biological characteristics from different points of view.We can enhance the performance of the entire identification system in several aspects such as detecting every biological feature, extracting feature, identifying or deciding.In this paper,the author integrates fingerprint and iris, and comes up with fusion algorithm based on membership function.The author finally designs authentication model based on multi-biometrics, establishes a business process,functional modules and database design, and introduces important function modules and data tables, and development methods. |