Analysis of Different Techniques for Score Level Fusion in Multimodal Biometrics
Suneet Narula Garg1, Renu Vig2, Savita Gupta3
1Suneet Narula Garg, Department of Electronics and Communication, U.I.E.T, Punjab University, Chandigarh, India.
2Renu Vig, Department of Electronics and Communication, U.I.E.T, Punjab University, Chandigarh, India.
3Savita Gupta, Department of Computer Science and Engg, U.I.E.T, Punjab University, Chandigarh, India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1233-1238 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2255037619/19©BEIESP
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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: Fusion in the multimodal biometric system is a very important part of the authentication process. Two modalities are combined to form a single authentication factor so selection of fusion method is also need very attention. As there are different level of fusion so in this work, score level fusion is used to analyze multimodal biometric system’s performance. This work uses two data sets CASIA and IITD and firstly texture features of both iris and fingerprint will be extracted. Then theses texture feature will further used to calculate score for both modalities and fuse using SUM, PRODUCR and MAX methods. Performance of all three methods has been analyzed in terms of FAR, FRR and accuracy.
Keywords: Analysis of Different, PRODUCR and MAX methods
Scope of the Article: Predictive Analysis