An Efficient Method For Extracting the Necessary Features in A Multimodal Biometrics
S. Arunarani1, R. Gobinath2
1Mrs. S. Arunarani, Research Scholar, Assistant Professor, Department of Computer, Prince Shri Venkateshwara Arts & Science College Science, VISTAS, Chennai (Tamil Nadu), India.
2Dr. R. Gobinath, Associate Professor, Department of Computer Science, VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 08 July 2019 | Revised Manuscript received on 18 August 2019 | Manuscript Published on 27 August 2019 | PP: 1002-1006 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B11970782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1197.0782S419
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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: Identifying the person using the unique textures of face, ear and fingerprint can be extracted very swiftly during the recognition process. Preprocessing the acquired image and extracting the necessary features from the preprocessed image are very important for any image based applications. The success of the process is entirely depending on the conflux rate and efficiency of such techniques. But, because of the negligence of the implication of these techniques results in the failure of the process. In this paper, appropriate pre-processing techniques are identified to extract the necessary features from the images for better performance.
Keywords: Feature Extraction, Images of Face, Ear, and Fingerprint, Pre-Processing.
Scope of the Article: Probabilistic Models and Methods