TY - GEN
T1 - Effectiveness of the Use of Golden Ratio in Identifying Similar Faces Using Ensemble Learning
AU - Sanil, Gangothri
AU - Prakash, Krishna
AU - Prabhu, Srikanth
AU - Nayak, Vinod C.
N1 - Publisher Copyright:
© 2022, Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85126942175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126942175&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1166-8_6
DO - 10.1007/978-981-19-1166-8_6
M3 - Conference contribution
AN - SCOPUS:85126942175
SN - 9789811911651
T3 - Communications in Computer and Information Science
SP - 62
EP - 80
BT - Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers
A2 - Pokhrel, Shiva Raj
A2 - Yu, Min
A2 - Li, Gang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 12th International Conference on Applications and Technologies in Information Security, ATIS 2021
Y2 - 16 December 2021 through 17 December 2021
ER -
