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Research And Design Of Small Area Fingerprint Identification System Based On TrustZone

Posted on:2020-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:Z YangFull Text:PDF
GTID:2428330590987146Subject:Control engineering
Abstract/Summary:PDF Full Text Request
The most widely used biometric technology in smart terminals is fingerprint recognition.Fingerprint recognition technology provides functions such as unlocking and payment in smart terminals.The security of fingerprint data is very important for smart terminals.With the advancement of technology,hacker technology also has gradually developed,and a series of phenomena that endanger the security of public property have emerged,making the security protection of mobile terminals increasingly prominent.At the same time,with the development of the thin and light of the intelligent terminal,the area of the capacitive fingerprint collector is gradually reduced.When the relatively mature fingerprint recognition method is used,the recognition rate is reduced.Therefore,the security of small area fingerprint recognition and fingerprint data has become a research hotspot in this field.The Open Mobile Terminal Platform working group proposed the concept of Trust Execution Environment to ensure the device to be protected against numerous potential threats for the first time.On the basis of this,this thesis utilized the dual system mode in which the common system and the high security system operate independently from each other.The application of the general system was used for collecting fingerprint information,transmitting it to the security system,and performing a series of encryption for identification and processing.Finally the further steps were determined via comparing the results with the information base of the common system.The key innovations and contents of this essay were listed as follows.(1)A small-area fingerprint splicing algorithm based on SURF algorithm was proposed in the security system.The SURF algorithm was combined with small area fingerprint recognition.The experiment used a capacitive fingerprint collector SW9251 to collect 3400 fingerprint images as a self-built database and verified it in the FVC database.The experimental comparison and verification shown that the algorithm can effectively improve the fingerprint recognition rate,shorten the recognition process time,and improve the result security.(2)Based on the security extension mechanism of TrustZone provided by ARM processor,Designed a TrustZone-based small area fingerprint identification security technology solution.The application of the common system is used to collect fingerprint information,transmit it to the security system,and perform fingerprint encryption and decryption processing simultaneously,and finally the result of the matching with the information base is fed back to the common system to determine the next operation of the terminal.(3)In order to verify the effectiveness of the proposed scheme,The experiment used capacitive fingerprint collector SW9251 and SMDKV210 development board to realize small area fingerprint recognition based on TEE.The experimental results shown that the system can guarantee the security of confidential data in the process of fingerprint identification,The TrustZone-based fingerprint recognition security service function and the secure storage function of fingerprint sensitive information are verified,the efficiency of the monitor and the communication stability between the dual system are tested.
Keywords/Search Tags:Trusted execution environment, Rich execution environment, SURF, Small area fingerprint
PDF Full Text Request
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