Publication Type:

Conference Paper

Source:

Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, Institute of Electrical and Electronics Engineers Inc. (2016)

ISBN:

9781509012770

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992150950&partnerID=40&md5=4c492a853cab744902fd76789914579a

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

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.

Notes:

cited By 0; Conference of 2016 IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016 ; Conference Date: 18 March 2016 Through 19 March 2016; Conference Code:123144

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.

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