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 …

Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

In this paper, an approach that makes use of knuckle creases and fingernails for person
identification is presented. It introduces a framework for automatic person identification that …

Fingerprints are a commonly used biometric for civil and forensic applications and the
majority of them are captured by contact sensors. More recently, there is a trend toward the …

Handimages are of paramount importance within critical domains like security and criminal
investigation. They can sometimes be the only available evidence of an offender's identity at …

The objective of this work is to propose a novel methodology for the finger knuckle print
recognition, which is essentially a digital photo of the finger-knuckle region. We have …

In a finger vein authentication system, the image of a finger acquired for recognition always
suffers from noises due to imperfect acquisition device, signal distortion, and variability of …

In this paper, we propose multimodal biometric feature fusion using alternating
concatenation of DCT coefficients exist in face and plamprint images. Discrete cosine …

We found that the discrepancy between different finger vein templates of the same finger
affects the identification results more seriously than the similarity of templates of different …