Abstract
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
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
Keywords
and Digital image of Human Face
Rules of moments