A Dual Security Scheme Based On DWT for Personnel Authentication
P. Sivananthamaitrey1, V. Venkata Krishna2, Addanki Purna Ramesh3, P. Satyanarayana Murty4
1Mr. P. Sivananthamaitrey*, Associate Professor, Electronics and Communication Engineering, Vishnu Institute of Technology, Bhimavaram, India.
2V. Venkata Krishna, Electronics and Communication Engineering, Vishnu Institute of Technology, Bhimavaram, India.
3Dr. Addanki Purna Ramesh, Professor, Department of ECE, Vishnu Institute of Technology, Bhimavaram, India.
4Dr. P. S. N. Murthy, Professor, Electronics and Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, India.
Manuscript received on September 12, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 598-602 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9740109119/2019©BEIESP | DOI: 10.35940/ijeat.A9740.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A biometric identification system that audits the presence of a person using real or behavioral features is safer than passwords and number systems. Present applications are mostly recognize an individual using the single modal biometric system. However, a single characteristic sometimes fails to authenticate accurately. Multimodal biometric technologies solve the problems that exist in the single biometric systems. It is very hard to identify images with low lighting environments using facial recognition system. By utilizing fingerprint recognition, this issue can be better addressed. This paper presents a dual personnel authentication system that incorporates face and fingerprint to improve security. For face identification, the Discrete Wavelet Transform (DWT) algorithm is used to acquire features from the face and fingerprint pictures. The technique used to integrate fingerprint and face is decision level fusion. By adding fingerprint recognition to the scheme, the proposed algorithm decreases the false rejection rate (FRR) in the face and fingerprint recognition and hence increases the accuracy of the authentication.
Keywords: Biometric system, face recognition, fingerprint recognition, discrete wavelet transform (DWT), false rejection rate (FRR), fusion, Eigen values, Eigenfaces.