Two-Dimensional Principal Component Analysis (2DPCA) has been widely used for feature
extraction in palmprint recognition. However, it is sensitive to variable illumination. In this …

During the last decade, palmprint recognition has received an increasing attention due to
the abundant features that can be extracted from the captured palmprint image. However, a …

In this paper, a novel palmprint identification and verification algorithm is proposed based on
wide principal lines. A set of wide principal line extractors are devised. Later these wide …

In this article different state of art palm print recognition techniques have been discussed.
Furthermore, various aspects of palm print recognition methodologies pertaining to feature …

Eigenpalms, a well-known approach, extracts features from palmprint images using
conventional PCA technique. However eigenpalms does not exploit neighbourhood (local) …

In this paper a new graph based approach referred to as Fisher Locality Preserving
Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs …

In this 21st era, the palm print is a new and emerging biometric feature for personal
recognition as it provides various advantages over other biometric system. An individual can …

Palm print is a biometric pattern which possesses high discriminability due to its multiple
resolution features like principle lines, wrinkles, datum points, and ridges etc. In this work, a …

Rising demand for recognition methods that accurately work on low-resolution images
acquired from a web-camera in a real-time environment with dynamic backgrounds inspires …