Face Image Classification Based on Feature Extraction

Authors

  • Salwa Mohammed Nejrs, Muzhir Shaban Al-Ani

Abstract

Face image classification is an important issue for Various areas of applications. Many literatures are mentioned different methods for face detection, recognition and classification. In this work, an efficient structure approach for face image classification is applied using different levels of Two Dimensional Discrete Fourier Transform (2D-DWT).There is accuracy in the results of classification based on the obtained correlation coefficient. The correlation coefficient is used in this approach difference between .the source and target images. The classification rate is approximately equal to 90% With levels of 2D-DWT.

Published

2020-12-01

Issue

Section

Articles