The research abstract Biometrics Finger Print Authentication Final Year Seminar elucidates Fingerprint authentication as a valuable tool for Biometric identification. The paper investigates correlation-based fingerprint authentication schemes that can be used for mobile devices.
The paper says that the investigated algorithms were implemented with a J2ME Environment on the application layer In order to reduce the resources demanded for the mobile device environment.
The research paper proposes a new hierarchical correlation-based scheme based on the idea that the overall authentication can be decomposed into partial autocorrelations.
Recent trends: The paper claims that only recently, a few products of biometric-enabled mobile devices have been announced available to consumers. However, different manufacturers tend to have their own standards and proprietary technology.
In most current commercial solutions, the biometric function is embedded in the system hardware and is expensive.
The paper suggests that J2ME applications should be designed to consume as little resource as possible. To meet this special requirement, a new hierarchical correlation algorithm for fingerprint authentication on mobile devices is said to be developed.
The paper talks about the implementation issues of J2ME. It says that the heart of Java 2 Micro Edition (J2ME) is a compact virtual machine (VM) whose basic functionalities are summarized in configurations.
Currently, there are two configurations available, each is defined for devices with similar computing power and equipment characteristics, namely connected limited device configuration (CLDC) and connected device configuration (CDC).
Conclusion:
The research elucidates various mathematical derivations to express the functionality in a better way. The research paper concludes saying that the hierarchical scheme has clear advantages over the full correlation method.
The paper suggests that there is often a tradeoff between execution speed and memory consumption, the proposed hierarchical method is slower than partial correlation algorithms. It is able to achieve reasonable authentication performance when plastic distortion presents in test fingerprints.