A Novel Approach For Face Recognition Using Law Mask
Face recognition is an interesting and challenging problem, and has important applications in many areas such
as identification, authentication, security system access, and personal identification. In this paper we presented a novel
approach for face recognition using LAW mask, which is very simple and straight forward.In the proposed method the face
image is first divided into four small regions and LAW mask is applied that aim to filter the each regions. Then the statistical
parameters like mean, standard deviation and absolute mean are calculated as features.This feature vector forms an efficient
representation of the face and is used to measure similarities between images. KNN classifier has been applied for
classification. Result shows as the image divided into smaller sub-regions the recognition rate increases.
Keywords— LAW mask, KNN classifier.