Palmprint recognition, as a reliable personal identification method, has received an
increasing attention and became an area of intense research during recent years. In this …

Palmprint recognition aims at finding out the palmprint template from the database, which is
from the same palm as a given palmprint input. Feature extraction plays an important role in …

Multibiometrics can provide higher identification accuracy than single biometrics, so it is
more suitable for some real-world personal identification applications that need high …

2-D palmprint has been recognized as an effective biometric identifier in the past decade.
Recently, 3-D palmprint recognition was proposed to further improve the performance of …

Point pattern matching is an important topic in the field of computer vision and pattern
recognition. Currently most palmprints automatic recognition methods are only suitable for …

Palmprint-based personal identification is regarded as an effective method for automatically
recognizing a person's identity. It is well-known for several advantages such as stable line …

Palmprint recognition techniques have been widely applied in security authentication. As a
typical image processing method, convolutional neural network (CNN) has been applied to …

Automatic palmprint identification has received much attention in security applications and
law enforcement. The performance of a palmprint identification system is improved by …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …