… The holistic-based palmprint recognition approaches use the original palmprint image as a
… of palmprint are extracted for efficient palmprint recognition. The palmlines and texture are …

… palmprint’s region of interest (ROI) as a texture … palmprint recognition is the appearance-based
methods, such as principal component analysis (PCA) [4], [5], linear discriminant analysis …

… and textural feature of a palmprint for authentication of an individual using human palmprint.
… be a weak authentication tool as the human palmprint can be sensed by some false means …

… Palm print exhibit unique attribute that can be characterized by texture features which may
… Different palm print features such as geometric, line, point and wrinkle features are used for …

… We propose a texture-based approach for palmprint feature representation. The concept of
texture energy is … This section introduces a texture based palmprint feature measurement. …

… The curvatures images show well the principal lines of the palm and its texture which are
the most important features in palmprint recognition. Fig. 4 confirms this inference through 2D …

… recognition [29], [30]. A number of feature representation methods for palmprint recognition
… description based on subspace analysis, and local texture analysis, etc. Competitive code …

… [21] originally proposed the standard LBP as a texture descriptor that measures neighborhood
evaluation in texture analysis finds microtextons in a surrounding area. By comparing …

… low-resolution palmprint images are treated as texture images. Accordingly, texture analysis
… Accordingly, in this thesis, we resort to texture analysis technologies to extract discriminative …

… palmprint features i.e. creases and lines. However, a palmprint image can also be analyzed
as texture… The multichannel filtering of every palmprint image using only real Gabor functions…