Design and Implementation of Multi-Modal Feature Extraction for Bio-Authentication
Kamatchy B1, P. Dhanalakshmi2
1Kamatchy.B, Research Scholar, Department of Computer and Information Science, Annamalai University. Tamil Nadu, India
2Dr. P. Dhanalakshmi, Associate Professor, Department of Computer Science and Engineering, Annamalai University, Chindambaram, Tamil Nadu, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 1010-1014 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1119058119/19©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: Design and implementation of Feature extraction of study of biometric images is being evaluated here. The major challenge in image processing technology is that predicting the uniqueness of the input. Such a system encloses a variable performance when compared with the traditional method. Palm vein recognition is a unique biometric authentication method based on the reliable authentic patterns of veins in the palms of people’s hands. Palm vein recognition systems, compare the database of various images and does the feature extraction technique. As an added technique to increase the authentication accuracy now a day’s multiple biometrics with Multi-modal feature extraction is mandatory. Here iris based authentication is also extracted to evaluate the improved authentication process in any kind of secured communication.
Index Terms: Multi Modal Feature Study, Iris Recognition Palm Vein Recognition, Global Authentication, and Biometrics.
Scope of the Article: Authentication, Authorization, Accounting