International Journal of Computer and Communication Technology
Abstract
In recent years, Face recognition becomes one of the popular biometric identification systems used in identifying or verifying individuals and matching it against library of known faces. Biometric identification is an actively growing area of research and used in electronic commerce, electronic banking, electronic passports, electronic licences and security applications. Face recognition finds its application in wide variety of areas like criminal identification, human - computer interaction, security systems, credit- card verification, teleconference, image and film processing. This paper suggests an automated face recognition system which extracts the features from the face. Feature extraction process includes locating the position of eyes, nostrils and mouth and determining the distances between those regions. From the extracted features, a database is created for known individuals. A virtual neural network is created based on Extreme Learning Machine (ELM).
Recommended Citation
SIDDARTHA, NAGABHAIRAVA VENKATA; UMAR, MOHAMMAD; SEN, NABANKUR; and PRASAD, P. KRISHNA
(2016)
"Feature Extraction Based Face Recognition Using Extreme Learning Machine (ELM),"
International Journal of Computer and Communication Technology: Vol. 7:
Iss.
2, Article 2.
DOI: 10.47893/IJCCT.2016.1343
Available at:
https://www.interscience.in/ijcct/vol7/iss2/2
DOI
10.47893/IJCCT.2016.1343
