CUSTOMS SECURITY SYSTEM

designing of application software which aims to help, in detecting ,identifying, apprehending.

Customs Security System is basically the designing of application software which aims to help, in detecting ,identifying, apprehending and removing individuals illegal entry. This System also provides the platform where interconversion of images can be done from one format to another. With increasing security needs and with advancement in technology extracting information has become much simpler.
Customs Security System is a form of image processing for which the input is an image, such as a photograph or frame; and the output of this system may be either an image or a set of characteristics or parameters related to the image.
This project aims on building an application using PCA based on eigenface approach. This report mainly addresses the building of Customs Security System by using Principal Component Analysis (PCA). PCA is a statistical approach used for reducing the number of variables in face recognition. In PCA, every image in the training set is represented as a linear combination of weighted eigenvectors called eigenfaces. These eigenvectors are obtained from covariance matrix of a training image set. The weights are found out after selecting a set of most relevant Eigenfaces. Identification is performed by projecting a test image onto the subspace spanned by the eigenfaces and then classification is done by measuring minimum Euclidean distance.