Multimodal Biometrics it is: Need for Future Systems | Zendy

Ashish Mishra | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multimodal Biometrics it is: Need for Future Systems

Author(s) -

Ashish Mishra

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/720-1012

Subject(s) - biometrics , computer science , feature (linguistics) , set (abstract data type) , biometric data , artificial intelligence , data set , pattern recognition (psychology) , data mining , philosophy , linguistics , programming language

A biometric system is essentially a pattern recognition system that operates by acquiring biometric data from an individual, extracting a feature set from the acquired data, and comparing this feature set against the template set in the database. Multimodal biometric systems are becoming more and more popular, they have more accuracy as compared to unimodal biometric systems. On the other hand these systems are more complex. We discuss here different types of multimodal biometric systems, different decision fusion techniques used in these systems. We discuss their feasibility and advantage over unimodal biometric systems & some of the future directions of biometrics system.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research