Effectiveness of the Use of Golden Ratio in Identifying Similar Faces Using Ensemble Learning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face Recognition System (FRS) is a significant area for communicating non verbally in day-to-day life. It is well understood that the face is a unique and vital part of the human body in identifying a person. Therefore, it can be used to identify faces for commercial and law enforcement applications. The aim of this study is to explore the relationship of facial proportion with respect to golden ratio for identifying a person. The goal of this paper is to investigate the application of divine proportions among human faces to extract features for classification and recognition using an ensemble classifier model. These feature extraction techniques can be used in image analysis, the advantages of which can be used for commercial purposes and criminal investigation processes.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers
EditorsShiva Raj Pokhrel, Min Yu, Gang Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages62-80
Number of pages19
ISBN (Print)9789811911651
DOIs
Publication statusPublished - 2022
Event12th International Conference on Applications and Technologies in Information Security, ATIS 2021 - Virtual, Online
Duration: 16-12-202117-12-2021

Publication series

NameCommunications in Computer and Information Science
Volume1554 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference12th International Conference on Applications and Technologies in Information Security, ATIS 2021
CityVirtual, Online
Period16-12-2117-12-21

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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