Image Fusion Based Multimodal Biometric Recognition
Sunitha Nandhini A.1, Suhashini M. S.2, Yasvanthini B.3, Sharmila Devi M.4
1Ms. Sunitha Nandhini A., Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
2Suhashini M. S., Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
3Yasvanthini B., Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
4Sharmila Devi M., Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3613-3617 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8936038620/2020©BEIESP | DOI: 10.35940/ijrte.F8936.038620
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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: Biometric Authentication is a security process that replays on the unique biological characteristics of an individual. Biometric Authentication system compare a biometric data capture to stored, confirmed authentic data in a database. It is simply the process of verifying the identity using the measurements or other unique characteristics of the body, then logging us in a service, device and so on. It is an effective way to prove identity because it can’t be replicated. Multi focus Image fusion is a process of fusing two or more images to obtain a new one. Used to reduce the problems like blocking, ringing artifacts occurs because of DCT. The low frequency sub-band coefficients are fused by selecting coefficient having maximum spatial frequency. The goal is classifying the images to classes of authorized and unauthorized using multi class SVM. The fingerprint image and iris image are fused together using SWT, the features are extracted from the fused image and labelled using GLCM algorithm. The testing image is then compared with trained samples and classified as authorized or unauthorized by using FFNN.
Keywords: About Biometric Authentication, Feed forward Neural Network, Fusion, SWT.
Scope of the Article: Authentication, Authorization, Accounting.