Publication Type : Conference Paper
Publisher : Institute of Electrical and Electronics Engineers Inc.
Source : Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, Institute of Electrical and Electronics Engineers Inc. (2016)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992150950&partnerID=40&md5=4c492a853cab744902fd76789914579a
ISBN : 9781509012770
Keywords : Authentication, Biometric systems, Biometrics, Computer circuits, Dimensionality reduction, Dimensionality reduction method, Dimensionality reduction techniques, Identity management systems, Learning algorithms, Multi-modal, Multimodal frameworks, Reconfigurable hardware, Semi- supervised learning, Supervised learning
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2016
Abstract : Owing to an increased demand for identity management system in day to day applications, considering user convenience as a priority, we conduct a survey on biometric systems and observed serial multimodal systems as the most user convenient and reliable system. For further enhancement of the system performance, the discriminating capacity of the weaker trait can be improved, and we expect that the use of a semi supervised learning based dimensionality reduction method will make the performance of the weaker trait matcher better and hence enhance the overall performance of the system. We also propose a serial biometric system of face and fingerprint into which the dimensionality reduction method can be incorporated.
Cite this Research Publication : S. Prasad and Aravinth J., “Serial multimodal framework for enhancing user convenience using dimensionality reduction technique”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, 2016.