Fusion of CNN and LBP-HOG Features for Face Detection

Gopika G Das
Additional contact information
Gopika G Das: Department of Computer Applications, Sree Narayana Guru Institute of Science and Technology, Manjali, N.Paravur, Ernakulam, Kerala, India

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 6, 58-59

Abstract: Face recognition is widely used in security based applications. Even mobile phones and other such gadgets consider face as one of the most secure biometric application. It is necessary that the biometric authentication system needs to prevent sophisticated spoofing challenges. Advantages of deep learning, LBP-HOG and convolutional neural network are used in spoof detection.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrsi/d ... -7-issue-6/58-59.pdf (application/pdf)
https://www.rsisinternational.org/virtual-library/ ... -for-face-detection/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:7:y:2020:i:6:p:58-59

Access Statistics for this article

International Journal of Research and Scientific Innovation is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Scientific Innovation from International Journal of Research and Scientific Innovation (IJRSI)
Bibliographic data for series maintained by Dr. Renu Malsaria ().