Development Of Efficient Algorithms to Identify the Facial Similarities among Relatives

Abstract

Artificial Intelligence is very much essential for humans, as it is very much assistive. The Artificial Intelligence is defined by certain algorithms of Machine Learning which may include facial similarity identification. The Harmonic Rule for Measuring the Facial Similarities among Relations are one such algorithm that performs identification of similar patterns in facial images. If the facial images contain any similar features, the system needs to analyse and understand and infer the percentage of facial similarities among different members of the same family. The task of identifying the facial similarity is done by extracting the facial features or describing the facial features as well. Thus, the research has also focused its attention on describing the facial features of an image. The Weighted Full Binary Tree-Sliced Binary Pattern: An RGB-D Image descriptor does the task of describing the facial features in terms of colour and texture. The colour and texture of the facial features may indicate the percentage of facial patterns in terms of Sliced Binary Pattern. Thus, the research includes algorithms which analyzes and describes the facial features. newline