Implementation of multimodal biometrics recognition system combined palm print and palm geometry features
The study of biometric for recognition system has been extensively evolved because this system has many advantages compared to conventional system. Palm geometry is one example of biometric feature that able to used for determine/recognize people. It say that each people have a unique feature of palm geometry that able to distinguish between one person which another.
This article reviews the strengths and limitations of five major paradigms of medical computer-assisted decision making (CADM): (1) clinical algorithms, (2) statistical analysis of collections of patient data, (3) mathematical models of physical processes, (4) decision analysis, and (5) symbolic reasoning or artificial intelligence (AI). No one technique is best for all applications, and there is recent promising work which combines two or more established techniques. We emphasize both the inherent power of symbolic reasoning and the promise of artificial intelligence and the other techniques to complement each other.