… of Oriented Lines (HOL) has not obtained promising performance for palmprint recognition
… propose a new descriptor of palmprint named Improved Histogram of Oriented Lines (IHOL), …

… This is intuitively expected as the discrimination offered for case (c) is much higher as the
orientation of all palm lines and creases in two palms are different/opposite. Thus the …

… orientation and scale features of palm lines, and has now become an important identity
recognition … Existing palmprint recognition methods using texture features can be roughly divided …

… to extract the line features for palmprint recognition [71]–[76]. … orientation-based methods
generally represent a palmprint … palmprint recognition, we carry out both palmprint verification …

… Orientation coding methods use a bank of orientational filters to extract orientation information
of palm lines. This provides a set of discriminative information for system. PalmCode that …

… palm lines, including principal lines and wrinkles, are essential features in low resolution
palmprint … [21] proposed the descriptor of Histogram of Oriented Lines (HOL), which is one of …

… to palmprint recognition is becoming more and more active. … method to extract palmprint ROI
from the whole hand image. … exploited to extract the orientation feature of palmprint. And the …

… the dominant orientation extraction, the robust line orientation … extract the dominant orientation
feature of palmprint images. … represent the most dominant orientation feature of palmprint …

… be used for the efficient identification. Palm print contains many unique features like principal
lines, points, ridges, … θ is orientation and by varying this orientation, we can look for texture …

… task of large-scale palmprint recognition. 2) Rich Orientation Code: We model the intersecting
lines of the palm print, including nonintersecting line segments as a special case, and …