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 language | English |
|---|---|
| Title of host publication | Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers |
| Editors | Shiva Raj Pokhrel, Min Yu, Gang Li |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 62-80 |
| Number of pages | 19 |
| ISBN (Print) | 9789811911651 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 12th International Conference on Applications and Technologies in Information Security, ATIS 2021 - Virtual, Online Duration: 16-12-2021 → 17-12-2021 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1554 CCIS |
| ISSN (Print) | 1865-0929 |
| ISSN (Electronic) | 1865-0937 |
Conference
| Conference | 12th International Conference on Applications and Technologies in Information Security, ATIS 2021 |
|---|---|
| City | Virtual, Online |
| Period | 16-12-21 → 17-12-21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
All Science Journal Classification (ASJC) codes
- General Computer Science
- General Mathematics
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