Medical Image Processing, Human Face Classification, Face Recognition and Medical Imaging: Performance Evolution Histogram of Orientation Gradients

Authors

  • Rana Ali salim

DOI:

https://doi.org/10.37506/ijfmt.v15i3.15476

Keywords:

HoG, Naïve bayes, Bilateral Filter, histogram equalization.

Abstract

In view of the common conditions and the security of the country from all the blackmail that is urging, whether
on the level of the Internet and social communication, there was an urgent need to secure all institutions and
also secure our phones and our possessions from laptops and others using more accurate safety methods
than these methods I used the method of destination classification, i.e. identifying the destination so that it is
possible to secure We can see you through the fingerprint of the destination, and this method that is popular
recently. In this paper, HoG algorithm was used and this algorithm is considered one of the powerful ways
to extract the features that we need in the classification process relying on one of the methods of learning a
machine an algorithm was used naive Bayes. After that, the system is evaluated by calculating the accuracy,
specificity, and sensitivity and it is found that the efficiency of the system reaches 98%.

Author Biography

Rana Ali salim

Lecturer, Fine Art Institute, Iraq

Published

2021-05-17

How to Cite

salim, R. A. (2021). Medical Image Processing, Human Face Classification, Face Recognition and Medical Imaging: Performance Evolution Histogram of Orientation Gradients. Indian Journal of Forensic Medicine & Toxicology, 15(3), 1204-1210. https://doi.org/10.37506/ijfmt.v15i3.15476