The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

Establishing identity is becoming critical in our vastly interconnected society. Questions such
as" Is she really who she claims to be?,"" Is this person authorized to use this facility?," or" Is …

In a multimodal biometric system, the effective fusion method is necessary for combining
information from various single modality systems. In this paper the performance of sum rule …

Most biometric systems that are presently in use, typically use a single biometric trait to
establish identity (ie, they are unibiometric systems). With the proliferation of biometric …

Mudras in traditional Indian dance forms convey meaningful information when performed by
an artist. The subtle changes between the different mudras in a dance form render automatic …

The widespread deployment of multi-biometrics to authenticate users prompts the need for
biometric systems with high recognition performance. Further, the biometric data, once …

The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition …

Biometric human identification refers to the automated recognition of individuals based on
their biological or behavioral characteristics. Finger vein recognition and electrocardiogram …

Multimodal biometric systems fuse information from multiple modalities to overcome
limitations of individual classifiers. Score level fusion of multiple classifiers can effectively …

Bimodal biometrics has been found to outperform single biometrics and are usually
implemented using the matching score level or decision level fusion, though this fusion will …