Human face recognition is dependent on computing the similarity and difference of the seven moment’s values as a face features

Abstract EN

Recognition of personal identification needs numerous techniques.

Solution of this problem needs the development of technique for arriving to the highest accuracy for recognition.

Some of techniques depend on human personal image.

This research presents new technique for human face recognition.

Two tests are executed for the image.

The first test depends on splitting the image vertically into two parts (left part and right part) for evaluating the seven moments for each part to find similarity and difference between these parts.

The second test depend on taking the image in different cases such as (image rotation and turn the angle of photo with different values) , extract the characteristics( such as eyes, nose, and mouth) of these images in these cases ,then compute the seven moments for these characteristics and then finding the similarity and difference between these characteristics.