A Multimodal Biometric User Verification System with Identical Twin using SVM 2
B.Lakshmi priya1, M.Pushpa Rani2
1B. Lakshmi Priya*, Ph.D Research Scholar, Department of computer science, Mother Teresa Women’s University, Kodaikanal, India.
2Dr.M.Pushpa Rani, Professor and Head, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 118-122 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6805018520/2020©BEIESP | DOI: 10.35940/ijrte.E6805.038620
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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: A biometric system recognizes unique features of a distinct found on the resolution and examining the behavioral and physical characteristics. Yet, the objective of existing search is to identify and verify the authorized person but it is inefficient due to noisy data, unacceptable false rates and identical twins. However, the identical twin has a high complexity owing to the closest genetic relationship with overall biometric recognition. Multimodal biometric system uses multiple sensors to conquer the detriment of single biometric system. Hence, this method uses Adoptive Median Filter for reducing image distortion and SVM2 classification to improve the false rate which ensure reliable and precise biometric recognition system. This propounds a multimodal biometric user verification system by integrating fingerprint; facial recognition and lip print images which produce a robust, reliable and accurate authentication result.
Keywords: Biometrics, Image Processing, Adoptive Median Filter, Multimodal biometric System, SVM2.
Scope of the Article: Image Processing and Pattern Recognition