Biometric Security
WHY ?
A fundamental flaw in existing embedded e-security technologies is their cryptography-plus-PIN-number infrastructure. This has generated security concerns that have proved a major obstacle to the growth of e-commerce, presently a relatively poor 2% of market share. We aim to design a new infrastructure that can solve this security problem by incorporating cryptography and biometric authentication into a computing resource limited embedded e-security system. The outcomes of this project will be a set of new cryptosystems, new biometrics processing schemes and new onboard resource allocation schemes that will form the basis for the next generation of embedded systems.
Fingerprint Related Project:
Fingerprint authentication is the emerging technology for security. A fingerprint is unique and can never be forgotten. It has found many applications in banking, mobile device access control, law enforcement, customs border control etc. It is predicted fingerprint security feature will be placed everywhere. Several interesting projects are given below.
Project 1: fingerprint registration. Most of fingerprint applications rely on registration, a process that align different imprints. This is non-trivial as each fingerprint captured tends to be different. The project tries to explore more reliable algorithms.
Project 2: Fingerprint indexing. The size of fingerprint database is exploding and easily at the scale of 100 millions. Given an unknown fingerprint, how could you find a match reliably and fast for the very large scale databases.
Project 3: fingerprint smart card template protection. We can use fingerprint for strong authentication. However, fingerprint biometrics stored in the smart card template need to be protected by themselves. This project tries to explore effective schemes for that.
Face Related Project
Similar to fingerprint, face is a popular biometric authentication feature which has been applied in many places. Australia Parliament has recently 92007) passed a bill to introduce face recognition based smart cards for health and social services. However, it is still an issue on the face biometric template protection and also the false recognition rate is still very high for very large scale databases. This project tries to explore effective solutions.
You may wish to get more ideas by reading our sample publications here.