-In this paper proposed a method for extracting Contrast, Correlation, Energy, and, Local homogeneity features on Central Local Directional Pattern Value Flooding Matrix for face recognition. Local Directional Pattern is computed on the image and then Central Local Directional Pattern Value Flooding Matrix is formed, and on this matrix Contrast, correlation, energy and homogeneity features are ...

Detecting power line insulator automatically and analyzing their defects are vital processes in maintaining power distribution systems. In this work, a rotation invariant texture pattern named rotation invariant local directional pattern (RILDP) is proposed for representing insulator image. For this at first, local directional pattern (LDP) is applied on image which can encode local texture pat...

Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (L...

We extend pattern search methods to linearly constrained minimization. We develop a general class of feasible point pattern search algorithms and prove global convergence to a KarushKuhn-Tucker point. As in the case of unconstrained minimization, pattern search methods for linearly constrained problems accomplish this without explicit recourse to the gradient or the directional derivative of th...