Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Biometric authentication systems may suffer from decreasing recognition performance due
to varying environmental conditions and sample ageing, which cause intra-class variability …

Biometric authentication has been found to be an effective method for recognizing a
person's identity with a high confidence. In this field, the use of palmprint represents a recent …

In this paper, a new approach of multimodal finger biometrics based on the fusion of finger
vein and finger geometry recognition is presented. In the proposed method, Band Limited …

In this paper, we propose a new finger biometric method. Infrared finger images are first
captured, and then feature extraction is performed using a modified Gaussian high-pass …

Biometrics authentication is an effective method for automatically recognizing a person's
identity. Recently, it has been found that the finger–knuckle-print (FKP), which refers to the …

In graph embedding based methods, we usually need to manually choose the nearest
neighbors and then compute the edge weights using the nearest neighbors via L2 norm (eg …

The existing palmprint protection schemes without verification degrading do not strictly meet
non-invertible requirement; while non-invertible palmprint protection schemes do not meet …

In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for an
image feature extraction and pattern recognition based on graph embedded learning and …

Sparse representation has attracted great attention in the past few years. Sparse
representation based classification (SRC) algorithm was developed and successfully used …