Publication Type : Conference Paper
Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017
Source : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030222985&doi=10.1109%2fICACCS.2017.8014718&partnerID=40&md5=3cd842aa7a1c0614530b430e8a2eaed4
ISBN : 9781509045594
Keywords : Big data, Character recognition, Cloud computing, Data technologies, Deep learning, Face recognition, Government organizations, Multi-modal, Multimodal system, Performance metrics, Security officers, Security systems
Year : 2017
Abstract : This survey aims at finding suitable algorithms for each phase for recognizing users based on locations in secured areas. Now- A days the security system is keep on updating its features every accepts. Here, in this project we have mainly focused on developing a multimodal system for government organization. The multimodal system contains the character recognition and face recognition. The main objective of our project is to develop an automated multimodal security system which recognize and alerts the security officer when an unauthorized person enters the restricted area in governmental organization. In this paper we have done a detail study about the character recognition, the face recognition and how these both can be linked to develop a security system. The performance metrics has been identified for testing the system in future. © 2017 IEEE.
Cite this Research Publication : R. Nirmala and Thangavel, S. K., “Develop, implement and evaluvate a multimodal system for government organisation”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.