Design and Execution of Face Recognition System by using Genetic Algorithm

Authors

  • Lakshmi Patil, P. S. Aithal

DOI:

https://doi.org/10.17762/msea.v71i4.573

Abstract

Purpose: The presented work demonstrates, Face Recognition System initiated by using GA (Genetic algorithm).This paper also suggests the use of normal GA and improved GA and is applicable for the problems of face recognition or pattern recognition systems. Still in modern days, a whole effective machinery to elaborate these features in systemic ways is not possible. Mentioning the facial expression of images, and its recognition in a duplicate image is a problem that involves a scrupulous examination because of its extraordinary complication.

Design/Methodology/Approach: This paper consists of dependable face recognition system method constructed on the normal GA and improved GA procedure. Originally, conceivable face regions remain produced by revenues of the inherent algorithm and the convenient appreciation of the similar process that was done by genetic algorithm.

Findings/Result: Face Recognition System is initiated by using genetic algorithm. This scheme approaches and entails for brilliance advantage popular audiovisual effects, displaying, piece mining, arrangement, documentation, etc. For face appreciation systems the proportion of society is strong virtually and perfect stability is more than 85%. It has been found and arranged for a further research study for face recognition applications systems.

Originality/Value: In this proposed novel approaches replicas remain predictable to covenant by delinquent resolving in a manner with various ways of conservative computing. Dissimilarity has been made between data and the pattern to accentuate the necessity for proposing the pattern systems that report pattern recognition tasks.

Paper Type: Conceptual Research.

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Published

2022-08-26

How to Cite

Lakshmi Patil, P. S. Aithal. (2022). Design and Execution of Face Recognition System by using Genetic Algorithm. Mathematical Statistician and Engineering Applications, 71(4), 817–833. https://doi.org/10.17762/msea.v71i4.573

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Section

Articles