The Search for the Criminals using PCA Algorithm
Proceeding: The International Conference on Computing Technology and Information Management (ICCTIM)Publication Date: 2014-04-09
Authors : Ahmed Mohamed Abushaala; Elham Ali Abobaker;
Page : 451-454
Keywords : Principal Component Analysis (PCA); Artificial Neural Network (ANN); Jacobi Method; Face Recognition; Database ORL;
Abstract
In this work, we are offering a system that would help a lot in facilitating a search for persons who have criminal records. Our search starts by entering the data or the pictures. In this system, we have built a database for many persons. Each one has five different pictures, which are taken from a database ORL submitted by the University of Cambridge, to configure a database training. There are many algorithms which are used in this field; however, we have chosen the Principal Component Analysis (PCA) algorithm to extract the features. The system has been programmed using C# 2008 because of its salient features of high efficiency and speed of implementation. After a number of tests on persons fabricated with different conditions, we get excellent results while using a database of pictures (ORL). Our results are then compared with the results of the Artificial Neural Networks algorithm with the same database (ORL) and the results of our algorithm are far better.
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Last modified: 2014-04-14 18:12:59