TY - GEN
T1 - Multi-authentication system with face and finger print detection using image processing
AU - Bhatnagar, Shaleen
AU - Raja, S. Pravinth
AU - Uma, S.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Detecting faces and fingerprints within images serves as a pivotal component in multiple computer vision applications. These applications encompass but are not limited to face recognition, facial expression analysis, and biometric systems designed for fingerprint identification. Owing to the considerable variation within the same class of images due to environmental influences on facial characteristics, the automated detection of faces and fingerprints poses a challenging binary classification task. In our research, we introduce an approach that combines a cascade face detection method with fingerprint data. This method leverages various types of features and classifiers for step-by-step elimination of non-face elements in the authentication process. The candidate feature set is constructed using Haar cascade and Minutiae points features of various granularities. Experimental results show enhanced performance in comparison to cutting-edge techniques.
AB - Detecting faces and fingerprints within images serves as a pivotal component in multiple computer vision applications. These applications encompass but are not limited to face recognition, facial expression analysis, and biometric systems designed for fingerprint identification. Owing to the considerable variation within the same class of images due to environmental influences on facial characteristics, the automated detection of faces and fingerprints poses a challenging binary classification task. In our research, we introduce an approach that combines a cascade face detection method with fingerprint data. This method leverages various types of features and classifiers for step-by-step elimination of non-face elements in the authentication process. The candidate feature set is constructed using Haar cascade and Minutiae points features of various granularities. Experimental results show enhanced performance in comparison to cutting-edge techniques.
UR - https://www.scopus.com/pages/publications/85194161539
UR - https://www.scopus.com/inward/citedby.url?scp=85194161539&partnerID=8YFLogxK
U2 - 10.1109/ICCAMS60113.2023.10526200
DO - 10.1109/ICCAMS60113.2023.10526200
M3 - Conference contribution
AN - SCOPUS:85194161539
T3 - 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023
BT - 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023
Y2 - 27 October 2023 through 28 October 2023
ER -