Face recognition approach based on the integration of image preprocessing : CMLABP and PCA methods

Abstract EN

Face recognition technique is an automatic approach for recognizing a person from digital images using mathematical interpolation as matrices for these images.

It can be adopted to realize facial appearance in the situations of different poses, facial expressions, ageing and other changes.

This paper presents efficient face recognition model based on the integration of image preprocessing, Co-occurrence Matrix of Local Average Binary Pattern (CMLABP) and Principle Component Analysis (PCA) methods respectively.

The proposed model can be used to compare the input image with existing database images in order to display or record the citizen information such as name, surname, birth date, etc.

The recognition rate of the model is better than 99%.

Accordingly, the proposed face recognition system is functional for criminal investigations.

Furthermore, it has been compared with other reported works in the literature using diverse databases and training images.