抽象的な

Applications of Swarm Intelligence in Biometrics systems

Sumit Chabbra, Nirmaljit Singh

Biometrics are applied to analyze human uniqueness for security purposes. The universal physical biometrics patterns analyzed for security purposes are the fingerprint, hand, eye, face and voice. Swarm intelligence is the emergent collective intelligence of groups of simple autonomous agents. Here, an autonomous agent is a subsystem that interacts with its environment. In this paper we explore a swarm intelligence classification approach for biometrics verification and identification problems. With the fusion of biometrics and swarm intelligence we can reduce the system error rates.