Statistical approaches become very important tools that interfere and overlap in our daily life and become inevitable
event that help us in every tiny details of our life, in this paper; we are going to present a new technique for analyzing the
two principal component of any given object by calculating the direction over the occupied coordinates using mean,
variance, and covariance statistical functions, and by finding some relationship between those statistical functions; we
have extracted the angle degree of the processed object, for pattern recognition applications; this object can be adjusted
accordingly to overcome the rotation perturbation shortcoming that hinders the extraction of a unified features especially
for object recognition purposes in which we have to present many samples per single pose which makes the processing
of this increasing size of the database is a noticeable burden, we have achieved a dramatically results with almost zero
time of calculation since the statistical functions applied need little processing time to finish.
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